item: #1 of 29
          id: mejs-109712
      author: Murut, G-E; Tsehaye, H; Abay, F
       title: Agronomic performance of some haricot bean varieties (haseolus vulgaris L.) with and without phosphorus fertilizer under irrigated and rain fed conditions in the Tigray and Afar regional states, northern Ethiopia
        date: 2014-11-13
       words: 6105
      flesch: 63
     summary: p2o5/ha 6.53a 9.41a 3.65a 2.17b 1.45a - 7.21 a 4.86a Significance level NS NS NS * NS - NS NS SE± 0.19 0.21 0.2 0.046 0.2 - 0.38 0.3 C.V% 0.89a - 12.60 a 1.05a Significance level NS NS NS ** NS - NS NS SE± 0.187 0.16 0.16 0.31 0.16 - 0.56 0.16 C.V% 22.0 195.36 96 8.73 60.5 - 24.37 31.6 Key: Treatments followed by similar letters are not statistically significant (P<0.05), * P<0.05, ** P<0.01, NS = non-significant RF= Rain fall, IR= Irrigation, na= data not recorded due to early season drought crop failure.
    keywords: bean; crop; fed; haricot; ns ns; number; plant; rain; varieties; yield
       cache: mejs-109712.pdf
  plain text: mejs-109712.txt

        item: #2 of 29
          id: mejs-171211
      author: Ponnapalli, Krishna Murthy; Soren, Ravi Kant
       title: Indirect Estimation of Selected Measures of Fertility and Marital Fertility from Information on CWR (0-9): An Application to India /States /Districts
        date: 2018-05-17
       words: 11392
      flesch: 32
     summary: 2.1 3.3 18.7 2.4 3.7 16.0 1.9 3.0 Ambala (HR) 16.3 2.0 3.1 17.1 2.1 3.3 15.4 1.8 2.9 Yamunanagar (HR) 17.5 2.2 3.4 18.3 2.3 3.6 16.2 1.9 3.1 Kurukshetra (HR) 17.4 2.1 3.4 18.1 2.2 3.5 15.5 1.8 3.0 Kaithal (HR) 18.6 2.4 3.7 18.9 2.5 3.8 17.7 2.2 3.4 Karnal (HR) 18.7 2.3 3.6 19.4 2.5 3.8 17.0 2.0 3.2 Panipat (HR) 20.2 2.6 3.9 20.8 2.7 4.2 19.4 2.4 3.7 Sonipat (HR) 18.7 2.4 3.7 19.0 2.5 3.8 18.0 2.2 3.4 Jind (HR) 18.4 2.4 3.6 18.7 2.5 3.7 17.6 2.1 3.3 Fatehabad (HR) 18.6 2.4 3.7 18.9 2.4 3.7 17.5 2.1 3.4 Sirsa (HR) 17.7 2.2 3.4 17.9 2.3 3.5 16.9 2.0 3.2 Hisar (HR) 18.0 2.3 3.5 18.5 2.4 3.6 16.9 2.1 3.2 Bhiwani (HR) 18.8 2.4 3.6 19.0 2.5 3.7 17.8 2.2 3.4 Rohtak (HR) 17.7 2.2 3.5 18.3 2.4 3.7 16.7 2.0 3.2 Jhajjar (HR) 17.9 2.3 3.4 17.9 2.3 3.5 17.9 2.2 3.3 Mahendragarh (HR) 17.6 2.2 3.3 17.6 2.2 3.3 17.4 2.1 3.2 Rewari (HR) 18.1 2.2 3.3 18.0 2.3 3.3 18.3 2.2 3.4 Gurgaon (HR) 18.9 2.3 3.5 20.2 2.6 3.8 18.3 2.2 3.3 Mewat (HR) 32.0 5.2 7.5 32.7 5.4 7.7 26.7 3.8 5.7 Faridabad (HR) 20.0 2.5 3.8 23.3 3.1 4.7 19.2 2.3 3.5 Palwal (HR) 24.3 3.4 5.0 25.3 3.7 5.3 20.6 2.6 4.1 NCT OF DELHI (DL) 17.4 2.1 3.4 19.5 2.4 3.8 17.3 2.1 3.4 North West (DL) 17.9 2.2 3.5 19.7 2.5 3.9 17.8 2.2 3.5 North (DL) 16.9 2.0 3.4 20.2 2.5 3.8 16.9 2.0 3.4 North East (DL) 19.5 2.4 3.9 22.8 3.0 4.5 19.5 2.4 3.9 East (DL) 16.5 1.9 3.1 14.9 1.7 2.7 16.5 1.9 3.2 New Delhi (DL) 13.3 1.5 2.6 NA NA NA 13.3 1.5 2.6 Central (DL) 15.5 1.8 3.3 NA NA NA 15.5 1.8 3.3 West (DL) 16.4 2.0 3.2 20.2 2.5 3.7 16.4 2.0 3.2 South West (DL) 16.8 2.0 3.1 18.6 2.3 3.4 16.7 2.0 3.1 South (DL) 17.6 2.1 3.4 20.8 2.8 4.4 17.6 2.1 3.4 RAJASTHAN (RJ) 22.4 3.0 4.3 23.5 3.2 4.6 19.0 2.3 3.6 Ganganagar (RJ) 19.0 2.4 3.7 19.7 2.5 3.8 17.3 2.1 3.3 Hanumangarh (RJ) 19.3 2.5 3.6 19.6 2.5 3.6 18.2 2.2 3.4 Bikaner (RJ) 24.4 3.4 4.8 26.9 4.0 5.5 19.6 2.5 3.7 Churu (RJ) 22.6 3.0 4.3 23.1 3.2 4.4 21.2 2.7 4.0 Jhunjhunun (RJ) 19.7 2.5 3.7 19.6 2.5 3.7 19.7 2.5 3.8 Alwar (RJ) 22.9 3.1 4.4 23.8 3.3 4.6 18.9 2.3 3.6 Bharatpur (RJ) 24.3 3.5 5.1 25.4 3.7 5.3 19.9 2.5 4.0 Dhaulpur (RJ) 25.8 3.9 5.7 26.7 4.1 5.9 22.4 3.0 4.8 Karauli (RJ) 23.8 3.5 4.9 24.1 3.6 5.0 22.2 3.0 4.5 Sawai Madhopur (RJ) 22.0 3.0 4.2 22.6 3.1 4.3 19.8 2.5 3.8 Dausa (RJ) 22.9 3.2 4.6 23.4 3.3 4.7 19.5 2.5 3.8 Jaipur (RJ) 20.4 2.6 3.8 22.3 3.0 4.2 18.7 2.2 3.5 Sikar (RJ) 20.6 2.6 3.9 20.8 2.7 3.9 20.3 2.5 3.9 Nagaur (RJ) 22.3 2.9 4.2 22.5 3.0 4.2 21.6 2.7 4.1 Jodhpur (RJ) 23.7 3.3 4.7 26.2 3.8 5.3 19.0 2.3 3.5 Jaisalmer (RJ) 27.6 4.3 5.9 28.6 4.5 6.2 21.2 2.9 4.1 Barmer (RJ) 27.3 4.2 5.9 27.8 4.3 6.1 20.9 2.7 4.0 Jalor (RJ) 24.9 3.5 5.1 25.2 3.6 5.2 21.6 2.9 4.3 Sirohi (RJ) 23.9 3.2 4.8 25.2 3.5 5.2 18.4 2.3 3.6 Pali (RJ) 21.2 2.8 4.2 21.7 2.9 4.4 19.5 2.4 3.7 Ajmer (RJ) 21.1 2.7 3.9 23.4 3.1 4.3 17.8 2.1 3.3 Tonk (RJ) 20.9 2.7 3.8 21.2 2.8 3.8 19.7 2.3 3.9 Bundi (RJ) 20.8 2.7 3.8 21.4 2.8 3.9 18.5 2.2 3.5 Bhilwara (RJ) 21.6 2.8 3.8 22.3 2.9 4.0 19.2 2.3 3.3 Rajsamand (RJ) 22.0 2.9 4.0 22.6 3.0 4.2 18.4 2.2 3.3 Dungarpur (RJ) 24.8 3.3 5.0 25.3 3.4 5.1 18.2 2.1 3.3 Banswara (RJ) 25.7 3.5 5.1 26.3 3.6 5.3 18.0 2.1 3.0 Krishna Murthy, P and Ravi Kant, S. (MEJS) Volume 10(1):89-108, 2018 © CNCS, Mekelle University 100 ISSN: 2220-184X Chittaurgarh (RJ) 19.9 2.5 3.4 20.3 2.6 3.5 18.1 2.1 3.2 Kota (RJ) 18.8 2.3 3.5 20.2 2.6 3.9 17.8 2.1 3.3 Baran (RJ) 21.5 2.8 4.1 22.0 3.0 4.3 19.4 2.4 3.7 Jhalawar (RJ) 21.4 2.8 3.9 21.7 2.9 3.9 19.4 2.4 3.6 Udaipur (RJ) 23.6 3.1 4.5 25.4 3.5 4.9 16.1 1.9 2.9 Pratapgarh (RJ) 24.7 3.3 4.7 25.3 3.4 4.9 17.7 2.1 3.2 UTTAR PRADESH (UP) 22.7 3.1 4.9 23.8 3.4 5.2 19.1 2.4 4.1 Saharanpur (UP) 21.8 2.9 4.9 22.7 3.1 5.2 19.8 2.5 4.4 Muzaffarnagar (UP) 22.7 3.1 5.1 23.3 3.3 5.3 21.4 2.8 4.7 Bijnor (UP) 22.5 3.0 5.2 22.8 3.1 5.3 21.5 2.8 5.2 Appendix Table 1: Indirect estimates of CBR,TFR & TMFR -Total, Rural and Urban areas-India/States/UTs/Districts-2007 TOTAL - 2007 RURAL - 2007 URBAN - 2007 India/States/Uts/Districts CBR TFR TMFR CBR TFR TMFR CBR TFR TMFR Moradabad (UP) 24.1 3.4 5.8 25.7 3.8 6.2 20.8 2.7 4.8 Rampur (UP) 24.0 3.4 5.8 25.2 3.7 6.1 20.4 2.6 4.9 Jyotiba Phule Nagar (UP) 23.9 3.3 5.4 24.5 3.5 5.5 22.0 2.8 5.0 Meerut (UP) 21.0 2.8 4.5 22.6 3.1 5.1 19.5 2.4 4.1 Baghpat (UP) 21.7 3.0 4.8 21.7 3.1 4.9 21.5 2.8 4.6 Ghaziabad (UP) 20.9 2.7 4.4 23.3 3.3 5.3 19.8 2.5 3.9 Gautam Buddha Nagar (UP) 21.4 2.9 4.3 23.0 3.3 4.9 20.3 2.6 3.9 Bulandshahr (UP) 22.6 3.1 5.0 23.0 3.2 5.1 21.2 2.7 4.6 Aligarh (UP) 22.8 3.2 5.0 23.8 3.5 5.3 20.7 2.7 4.5 Mahamaya Nagar (UP) 23.0 3.3 5.1 23.5 3.4 5.2 21.0 2.8 4.5 Mathura (UP) 23.0 3.4 5.1 24.2 3.7 5.5 20.0 2.7 4.2 Agra (UP) 22.3 3.0 4.8 24.8 3.6 5.4 19.3 2.4 4.0 Firozabad (UP) 22.6 3.2 5.0 23.5 3.4 5.3 21.0 2.8 4.6 Mainpuri (UP) 22.5 3.2 5.1 22.9 3.3 5.2 20.1 2.5 4.3 Budaun (UP) 26.1 4.0 6.2 26.9 4.3 6.4 22.7 3.1 5.3 Bareilly (UP) 23.2 3.3 5.4 25.2 3.8 6.0 19.6 2.6 4.5 Pilibhit (UP) 22.4 3.1 5.1 23.2 3.3 5.2 19.0 2.4 4.3 Shahjahanpur (UP) 24.6 3.6 5.6 25.8 4.0 5.9 19.5 2.5 4.4 Kheri (UP) 24.3 3.5 5.4 24.9 3.7 5.5 19.7 2.5 4.2 Sitapur (UP) 24.4 3.6 5.5 24.9 3.8 5.6 20.3 2.6 4.6 Hardoi (UP) 23.5 3.5 5.4 24.1 3.7 5.5 20.0 2.6 4.4 Unnao (UP) 20.9 2.9 4.7 21.4 3.1 4.9 18.3 2.3 3.9 Lucknow (UP) 17.7 2.2 3.7 21.5 3.0 4.9 15.7 1.8 3.2 Rae Bareli (UP) 21.2 2.8 4.6 21.7 2.9 4.7 17.0 2.0 3.5 Farrukhabad (UP) 23.3 3.3 5.3 24.5 3.6 5.6 19.3 2.4 4.2 Kannauj (UP) 22.9 3.3 5.4 23.2 3.4 5.5 21.3 2.8 4.9 Etawah (UP) 21.0 2.9 4.5 21.9 3.1 4.8 18.0 2.2 3.7 Auraiya (UP) 21.4 3.0 4.7 21.9 3.1 4.9 19.2 2.4 4.0 Kanpur Dehat (UP) 20.5 2.9 4.6 20.7 2.9 4.7 19.2 2.5 4.1 Kanpur Nagar (UP) 16.7 2.1 3.5 20.2 2.8 4.6 14.9 1.8 3.1 Jalaun (UP) 20.0 2.7 4.1 20.6 2.9 4.2 18.2 2.3 3.7 Jhansi (UP) 18.9 2.4 3.6 20.3 2.7 3.8 17.0 2.1 3.3 Lalitpur (UP) 24.9 3.6 4.9 25.8 3.8 5.1 19.2 2.4 3.7 Hamirpur (UP) 20.8 3.0 4.5 21.3 3.1 4.6 18.8 2.4 3.9 Mahoba (UP) 21.8 3.2 4.7 22.3 3.3 4.8 19.8 2.7 4.2 Banda (UP) 24.0 3.6 5.3 24.8 3.9 5.6 19.4 2.5 4.1 Chitrakoot (UP) 25.7 3.9 5.7 26.2 4.1 5.9 20.5 2.7 4.4 Fatehpur (UP) 22.1 3.1 4.9 22.5 3.2 5.1 18.8 2.3 4.0 Pratapgarh (UP) 21.6 2.8 4.4 21.8 2.8 4.5 18.6 2.3 3.9 Kaushambi (UP) 25.1 3.8 5.9 25.4 3.8 6.0 22.0 3.0 5.0 Allahabad (UP) 22.1 3.0 4.8 24.0 3.4 5.2 16.4 2.0 3.5 Bara Banki (UP) 23.5 3.4 5.4 23.8 3.5 5.5 20.3 2.7 4.7 Faizabad (UP) 21.8 2.9 4.6 22.6 3.0 4.8 16.9 2.1 3.8 Ambedkar Nagar (UP) 21.5 2.8 4.7 21.7 2.9 4.7 20.1 2.6 4.7 Sultanpur (UP) 22.3 3.0 4.6 22.5 3.0 4.6 18.3 2.2 3.8 Bahraich (UP) 27.1 4.1 5.9 27.7 4.2 6.0 21.0 2.7 4.7 Shrawasti (UP) 27.3 4.1 5.5 27.4 4.1 5.6 22.5 3.0 4.9 Balrampur (UP) 27.1 4.0 5.9 27.5 4.1 6.0 21.5 2.8 4.9 Gonda (UP) 24.8 3.5 5.2 25.2 3.6 5.3 19.1 2.4 4.1 Siddharthnagar (UP) 27.5 4.0 5.9 27.8 4.0 6.0 23.4 3.1 5.2 Basti (UP) 23.7 3.2 5.1 24.1 3.3 5.1 17.8 2.2 3.7 Sant Kabir Nagar (UP) 24.6 3.4 5.4 24.8 3.5 5.4 21.9 2.9 4.8 Mahrajganj (UP) 23.8 3.3 4.8 24.0 3.4 4.9 19.7 2.5 4.1 Gorakhpur (UP) 21.3 2.8 4.4 22.4 3.0 4.6 16.5 2.0 3.4 Kushinagar (UP) 23.9 3.3 5.1 24.1 3.4 5.1 20.2 2.7 4.4 Deoria (UP) 22.6 2.9 4.6 23.0 3.0 4.7 19.6 2.5 4.1 Azamgarh (UP) 23.1 3.0 4.8 23.2 3.0 4.8 21.6 2.8 5.0 Krishna Murthy, P and Ravi Kant, S. (MEJS) Volume 10(1):89-108, 2018 © CNCS, Mekelle University 101 ISSN: 2220-184X Mau (UP) 23.4 3.2 5.2 23.4 3.2 5.0 23.3 3.1 5.7 Ballia (UP) 22.1 3.0 4.7 22.3 3.1 4.7 19.8 2.6 4.2 Jaunpur (UP) 22.7 3.0 4.6 22.9 3.0 4.6 20.3 2.5 4.4 Ghazipur (UP) 23.1 3.2 4.9 23.3 3.3 5.0 20.7 2.7 4.6 Chandauli (UP) 23.4 3.3 4.8 23.8 3.4 4.8 20.5 2.6 4.4 Varanasi (UP) 20.3 2.7 4.2 22.1 3.0 4.5 17.9 2.2 3.8 Sant Rvidas Nagar (Bhadohi) (UP) 24.0 3.2 4.8 24.3 3.3 4.8 22.4 3.0 4.9 Mirzapur (UP) 23.8 3.4 5.0 24.5 3.5 5.1 19.8 2.6 4.2 Sonbhadra (UP) 25.2 3.6 5.1 26.6 3.9 5.5 18.3 2.2 3.5 Etah (UP) 23.6 3.4 5.3 24.1 3.5 5.4 20.5 2.6 4.4 Kanshiram Nagar (UP) 24.9 3.7 5.7 25.7 3.9 5.9 21.9 2.9 5.0 BIHAR (BR) 26.7 4.0 5.6 27.3 4.1 5.7 21.9 2.9 4.6 Pashchim Champaran (BR) 28.6 4.4 6.1 29.1 4.5 6.2 23.9 3.3 5.1 Purba Champaran (BR) 28.9 4.5 6.1 29.2 4.6 6.2 25.0 3.6 5.3 Appendix Table 1: Indirect estimates of CBR,TFR &TMFR -Total, Rural and Urban areas-India/States/UTs/Districts-2007 TOTAL - 2007 RURAL - 2007 URBAN - 2007 India/States/Uts/Districts CBR TFR TMFR CBR TFR TMFR CBR TFR TMFR Sheohar (BR) 28.1 4.5 6.1 28.1 4.5 6.1 27.8 4.3 6.0 Sitamarhi (BR) 27.9 4.3 6.0 28.2 4.4 6.0 23.4 3.3 4.9 Madhubani (BR) 26.6 3.9 5.4 26.7 4.0 5.4 23.3 3.2 4.8 Supaul (BR) 28.7 4.3 5.8 28.9 4.4 5.8 24.4 3.5 5.0 Araria (BR) 29.6 4.5 6.3 30.0 4.6 6.3 24.3 3.4 5.1 Kishanganj (BR) 29.3 Volume 10(1):89-108, 2018 © CNCS, Mekelle University 104 ISSN: 2220-184X Jagatsinghapur (OR) 14.3 1.7 2.7 14.2 1.7 2.7 15.3 1.7 2.8 Cuttack (OR) 15.1 1.8 2.9 15.6 1.9 3.0 13.8 1.5 2.6 Jajapur (OR) 17.1 2.0 3.4 17.1 2.0 3.4 17.5 2.0 3.3 Dhenkanal (OR) 17.0 2.0 3.2 17.2 2.1 3.3 14.8 1.7 2.8 Anugul (OR) 17.5 2.1 3.3 17.8 2.2 3.4 15.5 1.7 2.8 Nayagarh (OR) 16.4 2.1 3.0 16.5 2.1 3.0 14.9 1.8 2.7 Khordha (OR) 15.6 1.8 2.9 16.5 2.0 3.1 14.6 1.6 2.6 Puri (OR) 15.2 1.8 2.9 15.3 1.8 3.0 14.3 1.6 2.7 Ganjam (OR) 17.8 2.2 3.4 18.6 2.3 3.6 14.9 1.7 2.9 Gajapati (OR) 22.6 2.8 4.6 23.5 3.0 4.8 15.6 1.8 3.0 Kandhamal (OR) 22.6 2.9 4.8 23.2 3.0 4.9 16.8 1.9 3.3 Baudh (OR) 20.3 2.6 4.1 20.5 2.6 4.1 15.5 1.8 3.1 Subarnapur (OR) 17.5 2.2 3.6 17.6 2.2 3.7 15.9 1.9 3.1 Balangir (OR) 18.7 2.4 3.8 19.1 2.4 3.9 15.9 1.8 3.0 Nuapada (OR) 20.9 2.7 4.1 21.0 2.7 4.2 18.2 2.1 3.5 Kalahandi (OR) 20.5 2.6 4.0 20.9 2.7 4.0 16.8 1.9 3.2 Rayagada (OR) 23.3 2.9 4.7 24.5 3.1 5.1 16.3 1.8 3.0 Nabarangapur (OR) 24.8 3.3 4.8 25.3 3.4 4.9 18.4 2.2 3.6 Koraput (OR) 23.9 3.1 4.7 25.3 3.3 5.0 17.1 1.9 3.2 Malkangiri (OR) 26.0 3.5 5.3 26.5 3.6 5.4 20.1 2.5 4.1 CHHATTISGARH (CT) 20.7 2.6 4.1 21.6 2.7 4.3 17.9 2.1 3.5 Koriya (CT) 20.8 2.6 4.0 22.8 2.9 4.4 16.6 1.9 3.2 Surguja (CT) 23.2 3.1 4.6 23.8 3.2 4.7 18.5 2.2 3.6 Jashpur (CT) 20.5 2.6 4.1 20.6 2.6 4.2 18.7 2.2 3.9 Raigarh (CT) 18.9 2.3 3.6 19.1 2.4 3.7 18.0 2.1 3.5 Korba (CT) 20.4 2.5 4.0 21.7 2.8 4.3 18.1 2.1 3.4 Janjgir - Champa (CT) 20.2 2.6 4.3 20.4 2.7 4.3 18.7 2.2 3.8 Bilaspur (CT) 22.1 2.9 4.5 23.5 3.1 4.8 18.2 2.1 3.6 Kabeerdham (CT) 24.7 3.3 4.8 25.1 3.3 4.8 21.1 2.6 4.1 Rajnandgaon (CT) 19.9 2.4 3.9 20.5 2.5 4.0 17.0 2.0 3.4 Appendix Table 1: Indirect estimates of CBR,TFR &TMFR -Total, Rural and Urban areas-India/States/UTs/Districts-2007 TOTAL - 2007 RURAL - 2007 URBAN - 2007 India/States/Uts/Districts CBR TFR TMFR CBR TFR TMFR CBR TFR TMFR Durg (CT) 18.7 2.2 3.6 19.9 2.5 3.8 16.7 1.9 3.1 Raipur (CT) 20.5 2.5 4.0 21.4 2.7 4.3 18.9 2.2 3.6 Mahasamund (CT) 18.7 2.3 3.6 18.7 2.3 3.6 18.1 2.1 3.6 Dhamtari (CT) 18.5 2.2 3.6 18.8 2.3 3.6 17.0 1.9 3.3 Uttar Bastar Kanker (CT) 19.6 2.4 4.0 20.0 2.4 4.0 16.6 1.8 3.3 Bastar (CT) 22.3 2.7 4.5 23.2 2.9 4.7 16.8 1.9 3.4 Narayanpur (CT) 25.6 3.3 5.8 27.0 3.6 6.1 17.9 2.1 4.0 Dakshin Bastar Dantewada (CT) 23.1 2.8 4.8 23.9 2.9 5.0 19.8 2.4 4.0 Bijapur (CT) 26.3 3.3 5.6 26.8 3.4 5.7 21.9 2.7 4.8 MADHYA PRADESH (MP) 21.7 2.9 4.3 23.0 3.1 4.6 18.1 2.2 3.5 Sheopur (MP) 24.3 3.4 4.8 25.0 3.5 4.9 21.0 2.7 4.3 Morena (MP) 22.3 3.1 4.5 22.9 3.3 4.7 20.3 2.6 4.0 Bhind (MP) 21.0 2.9 4.3 21.4 3.1 4.4 19.8 2.6 3.9 Gwalior (MP) 18.9 2.4 3.7 22.3 3.1 4.6 16.8 2.0 3.3 Datia (MP) 20.5 2.8 4.0 21.0 2.9 4.1 18.9 2.4 3.8 Shivpuri (MP) 24.1 3.5 4.9 25.0 3.7 5.1 19.9 2.5 4.0 Tikamgarh (MP) 23.0 3.2 4.4 23.6 3.3 4.5 20.2 2.6 4.0 Chhatarpur (MP) 23.4 3.4 4.9 24.5 3.7 5.2 19.8 2.6 4.1 Panna (MP) 23.5 3.4 5.0 24.2 3.5 5.1 19.0 2.4 4.0 Sagar (MP) 21.7 3.0 4.5 23.1 3.3 4.8 18.6 2.3 3.9 Damoh (MP) 22.1 3.0 4.4 23.0 3.2 4.5 18.4 2.3 3.8 Satna (MP) 21.9 2.9 4.4 22.8 3.1 4.6 18.7 2.3 3.7 Rewa (MP) 21.8 2.9 4.4 22.5 3.1 4.6 18.2 2.2 3.6 Umaria (MP) 23.2 3.0 4.5 24.2 3.2 4.7 18.1 2.1 3.5 Neemuch (MP) 19.3 2.4 3.5 20.0 2.5 3.5 17.6 2.1 3.3 Mandsaur (MP) 19.7 2.5 3.5 20.3 2.6 3.6 17.5 2.1 3.2 Ratlam (MP) 21.8 2.8 4.1 23.7 3.2 4.5 17.5 2.1 3.3 Ujjain (MP) 20.0 2.5 3.7 21.7 2.9 4.0 17.2 2.1 3.2 Shajapur (MP) 21.4 2.9 4.0 21.8 3.0 4.1 19.7 2.5 3.7 Dewas (MP) 21.4 2.8 4.0 22.4 3.0 4.3 18.8 2.3 3.5 Dhar (MP) 23.9 3.1 4.6 24.6 3.3 4.8 20.9 2.6 3.9 Indore (MP) 18.5 2.2 3.4 21.2 2.7 3.9 17.6 2.1 3.2 Khargone (West Nimar) (MP) 23.4 3.1 4.7 24.2 3.3 4.8 18.8 2.3 3.7 Barwani (MP) 27.6 3.9 5.6 28.9 4.2 5.9 20.1 2.5 4.0 Rajgarh (MP) 22.1 3.0 4.2 22.5 3.1 4.3 20.7 2.6 4.1 Vidisha (MP) 23.9 3.4 5.1 24.9 3.8 5.4 20.4 2.6 4.1 Bhopal (MP) 18.6 2.3 3.6 23.7 3.3 5.0 17.4 2.1 3.3 Krishna Murthy, P and Ravi Kant, S. (MEJS)
    keywords: cbr; data; estimates; fertility; india; states; tfr; tmfr
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        item: #3 of 29
          id: mejs-247957
      author: Saubi, Onalethata ; S Suglo , Raymond ; Konka, Bheemalingeswara
       title: Impacts of Fines at Morupule Coal Mine, Botswana
        date: 2023-05-21
       words: 4528
      flesch: 63
     summary: As a result, the vegetation around the mining concession is affected by coal dust. Coal degradation results in coal dust that has environmental impacts such as water and air pollution, impacts on the health and safety of workers, and adverse effects on mining equipment and machinery (Halt, 2014).
    keywords: bheemalingeswara; coal; conveyor; dust; fines; generation; konka; mcm; plant; saubi; suglo; university
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        item: #4 of 29
          id: mejs-247958
      author: Tsehaye, Hadush; Sundheim, Leif ;  Tronsmo, Arne; Bente Brurberg, May ; Assefa, Dereje; Marte Tronsmo, Anne 
       title: Detection of total fumonisins produced by Fusarium verticillioides (Sacc) isolates from maize kernels in Ethiopia
        date: 2023-05-21
       words: 6411
      flesch: 57
     summary: The occurrence of high fumonisins concentration producing isolates, compared to others across all the areas investigated, demonstrated that the distribution of fumonisins producing F. verticillioides strains is not linked to specific geographic regions. The present study revealed a widespread occurrence of fumonisins producing F. verticillioides in maize in Ethiopia, as all the 80 isolates evaluated produced fumonisins.
    keywords: et al; ethiopia; fumonisins; isolates; levels; maize; total; verticillioides; verticillioides isolates
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        item: #5 of 29
          id: mejs-247959
      author: Assayehegn, Elias ; Tadese, Abraha ; G/Yohannes, Goitom ; Alemayehu, Samuel ; Teklu, Tesfamariam 
       title: Synthesis, Physicochemical, and Antimicrobial Activity of Copper and Zinc Complexes with N, O - Bidentate Schiff Base
        date: 2023-05-21
       words: 5380
      flesch: 52
     summary: Keywords: Metal complex, Schiff base, Condensation reaction, Antimicrobial activity, Salicylaldehyde. The aim of this paper, therefore, was to prepare new antimicrobial complexes with proven efficiency- including synthesizing and characterizing Cu(II) and Zn(II) metal complexes of Schiff base derived from the condensation of salicylaldehyde with p-toludine.
    keywords: activity; base; cm-1; complexes; et al; journal; ligand; mekelle; metal; metal complexes; schiff; synthesis
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        item: #6 of 29
          id: mejs-247960
      author: Gigar, Goitom ; Berhe Gebregergs, Gebremedhin ; Gebremeskel, Estifanos ; Abrha, Atakilti ; Mesfin, Berihu 
       title: Willingness to Pay for Community-based Health Insurance and its Correlates among Households in Wukro and Setit-humera Towns, northern Ethiopia: A Cross-sectional Study
        date: 2023-05-21
       words: 4903
      flesch: 63
     summary: Keywords: Community health insurance, Urban, Willingness to pay, Tigray, northern Ethiopia. Willingness to pay for community health insurance in a semi-urban community in Delta State, Nigeria.
    keywords: 2016; community; health; health insurance; households; insurance; pay; study; willingness
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        item: #7 of 29
          id: mejs-247961
      author: Mohammed, Seid ; Alem Berihu, Birhane ; Beyene, Tekleberhan 
       title: The Effect of Anethum Graveolens on Male Fertility: Systematic Review and Meta-Analysis
        date: 2023-05-21
       words: 5778
      flesch: 52
     summary: Recent studies showed that the aqueous extract of Anethum graveolens extract has an adverse effect on male fertility by affecting serum testosterone level, sperm concentration as well as sperm motility. Intervention The intervention of interest was the effect of the Anethum graveolens extract on sperm concentration, sperm motility, and testosterone hormone.
    keywords: anethum; anethum graveolens; control; effect; extract; fertility; graveolens; male; motility; sperm; studies; study
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        item: #8 of 29
          id: mejs-247962
      author: Tesfay, Tsegay ; Tesfay, Abreha; Bayrau, Tsge
       title: Implication of Mathematical tools to Teachers’ Method of Teaching High School Mathematics: The case of Mekelle Zone, Tigray, Ethiopia
        date: 2023-05-21
       words: 3667
      flesch: 52
     summary: The results of this study obtained from 45 high school mathematics teachers in Mekelle, therefore, will provide information about the problems that high school teachers face in making use of teaching aids and software packages which can help to teach mathematics in high schools. In this light, a study was conducted to assess the availability of mathematical tools in schools, analyze the extent of using mathematical tools by high school teachers, analyze the implication of using mathematical tools (manipulatives) to teachers’, understanding in their instructional process, and recommend possible intervention mechanisms.
    keywords: education; mathematics; mekelle; students; teachers; teaching; tesfay
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        item: #9 of 29
          id: mejs-247963
      author: Berhane Niguse, Kifle 
       title: Design and Analysis of Urban Land Lease Price Predicting Model Using Batch Gradient Descent Algorithm
        date: 2023-05-21
       words: 4903
      flesch: 62
     summary: Scenario Theta found by gradient descent Predicted price (Birr) for sample land sizes 𝛉𝟎 𝛉𝟏 𝛉𝟐 315 m 2 140 m2 A α = 0.3 The objective of the research is to minimize the cost function iteratively using gradient descent algorithm with optimal learning rate; by taking possible combinations of 𝜃0 𝑎𝑛𝑑 𝜃1 and finally, design a price and profit predictive model for better predictability and analysis with new feature inputs of the city administration like that of land grade, land size, land location, bid price and so on.
    keywords: cost; descent; land; learning; mekelle; regression
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        item: #10 of 29
          id: mejs-247964
      author: Sultanov, Murad
       title: Psychological Characteristics of Professional Soccer Players and their Comparison with Amateur Players
        date: 2023-05-21
       words: 4078
      flesch: 45
     summary: The results of the stepwise linear regression analysis demonstrated a statistically significant relationship (p ≤ 0.0001) between competitive anxiety and both psychoticism and neuroticism among professional soccer players. Therefore, the aim of this study: (i) to determine among professional soccer players’ and amateur soccer players individual-typological features, (ii) to compare professional soccer players with amateur soccer players according to personality traits and competitive anxiety, and it was hypothesized that professionals would be different from amateurs by personality traits or competitive anxiety, and (iii) to examine the predictive factors of anxiety in both groups.
    keywords: anxiety; athletes; neuroticism; personality; players; professional; soccer; soccer players; sport; sultanov; traits
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        item: #11 of 29
          id: mejs-46039
      author: Kabeto, K; Sawada, Y; Roser, B
       title: Compositional Differences between Felsic Volcanic rocks from the Margin and Center of the Northern Main Ethiopian Rift
        date: 2009-09-15
       words: 10775
      flesch: 66
     summary: Most of the felsic rift margin volcanic rocks have greater Al2O3, K2O, Nb, Zr, Rb, and Sr, and lesser CaO, Zr/Nb, and CaO/Al2O3 than rift center volcanic rocks. Based on their Zr/Nb ratios, most samples from the rift margin plot along Zr/Nb ≤ 5, whereas rift center volcanic rocks, and the few samples from the Yerer and Furi Mountains with low Nb contents cluster along Zr/Nb ≥ 6.
    keywords: basalt; et al; felsic; fig; kurkura et; rhyolite; rift; rift center; rift margin; rocks; samples; sio2; university; volcanic; volcanic rocks; volume
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        item: #12 of 29
          id: mejs-46040
      author: Tadesse, N; Bheemalingeswara, K; Berhane, A
       title: Groundwater Suitability for Irrigation: a Case Study from Debre Kidane Watershed, Eastern Tigray, Ethiopia
        date: 2009-09-15
       words: 7639
      flesch: 56
     summary: According to FAO (1985), water with a sulphate concentration of 0-20 meq/l is considered as a usual range in irrigation water. Classification and use of irrigation waters, U.S. Dept.
    keywords: area; groundwater; irrigation; mekelle; nata; rainy; samples; season; values; wells
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        item: #13 of 29
          id: mejs-46041
      author: Nedaw, D; Walraevens, K
       title: The Positive Effect of Micro-Dams for Groundwater Enhancement: a Case Study around Tsinkanet and Rubafeleg Area, Tigray, Northern Ethiopia
        date: 2009-09-15
       words: 3594
      flesch: 64
     summary: Water samples collected from Tsinkanet and Rubafeleg on Jan 6, 2006 and March 14, 2006 have been analyzed in Belgium and Ethiopia. Main type classification of water samples.
    keywords: area; groundwater; mekelle; rubafeleg; samples; university; water
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        item: #14 of 29
          id: mejs-46042
      author: Kebede, F
       title: Silicon Status and its Relationship with Major Physico-Chemical Properties of Vertisols of Northern Highlands of Ethiopia
        date: 2009-09-15
       words: 2826
      flesch: 65
     summary: Comparison study of soil silicon status in sandy soils of south Florida. Effect of amorphous silica on soil properties of a sod- podzolic soil.
    keywords: clay; fassil; kg-1; properties; silicon; soil; vertisols
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        item: #15 of 29
          id: mejs-46043
      author: Gebretsadik, H; Haile, M; Yamoah, CF
       title: Tillage Frequency, Soil Compaction and N-Fertilizer Rate Effects on Yield of Teff (Eragrostis Tef (Zucc) Trotter) in Central Zone of Tigray, Northern Ethiopia
        date: 2009-09-15
       words: 4223
      flesch: 69
     summary: Cover pages Haftamu et al., (MEJS) Volume 1 (1): 82 – 94, 2009 Tillage Frequency, Soil Compaction and N-Fertilizer Rate Effects on Yield of Teff (Eragrostis Tef (Zucc) Trotter) in Central Zone of Tigray, Northern Ethiopia Haftamu Gebretsadik1, Mitiku Haile2 and *Charles F. Yamoah2 1Tigray Agricultural Research Institute, Axum Agricultural Research Centre, P.O. Box 230, Axum, Tigray, Ethiopia. In addition, interaction of compaction with N rates significantly affect tillering because compaction enables teff plants to properly utilize the applied N fertilizer (Table 3).
    keywords: compaction; fertilizer; plots; teff; yield
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        item: #16 of 29
          id: mejs-46044
      author: Tsegay, D; Mebratu, A
       title: Multidimentional and Multi-Parameter Fortran-Based Curve Fitting Tools
        date: 2009-09-15
       words: 5460
      flesch: 75
     summary: Volume 1 (1): 95 – 112, 2009 or = ⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎦ ⎤ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎡ Mβ β β M 2 1 ⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎦ ⎤ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎡ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ M cM M c M c cMcc cMcc p Pr p Pr p Pr p Pr p Pr p Pr p Pr p Pr p Pr )()()( )()()( )()()( 21 22 2 2 1 11 2 1 1 L MOMM L L ⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎦ ⎤ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎡ )( )( )( 2 1 cM c c Pr Pr Pr M . δ+→ where kk tconsp βδ ×= tan = ⎥ ⎥ ⎥ ⎥ ⎦ ⎤ ⎢ ⎢ ⎢ ⎢ ⎣ ⎡ Mp p p δ δ δ M 2 1 ⎥ ⎥ ⎥ ⎥ ⎦ ⎤ ⎢ ⎢ ⎢ ⎢ ⎣ ⎡ × M tcons β β β M 2 1 tan .
    keywords: p pxf; pxf; ∂ ∂; ⎢ ⎢; ⎢ ⎣; ⎤ ⎢; ⎥ ⎥; ⎥ ⎦
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        item: #17 of 29
          id: mejs-46045
      author: Dejenie, T; Asmelash, T; Teferi, M
       title: Intestinal Helminthes Infections and Re-Infections with Special Emphasis on Schistosomiasis Mansoni in Waja, North Ethiopia
        date: 2009-09-15
       words: 4273
      flesch: 63
     summary: In Tigray, various studies have been conducted on the prevalence, distribution and infection foci of Schistosoma mansoni infection (Alemayehu et al., 1998; Birrie, 1994; Woldemichael and Kebede, 1996), but none of them studied re-infection of S. mansoni infections. Accordingly for S. mansoni infection is: Light = 1-99epg, Moderate = 100-399epg, Heavy = >400 epg.
    keywords: age; ethiopia; infection; intensity; mansoni; prevalence; tadesse
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        item: #18 of 29
          id: mejs-46046
      author: Asfaw, KG; Itanna, F
       title: Screening Some Tef [Eragrostis Tef (Zucc.)Trotter] Accessions/Varieties for Salt Tolerance during Germination and Seedling Stage
        date: 2009-09-15
       words: 4481
      flesch: 62
     summary: The study affirmed the presence of broad intraspecific variation among tef accessions and varieties for salt tolerance but more in the former. But prior to that there is a need to confirm the presence of genetic based variation for salt tolerance among different species or varieties of a particular crop that can thrive under unreliable agro-ecological situations;
    keywords: accessions; dz-01; germination; length; root; salt; seedling; tef; varieties
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        item: #19 of 29
          id: mejs-49647
      author: Kabeto, K
       title: Geological and geochemical variations in Mid-Tertiary Ethiopian Flood Basalt Province, Maychew, Tigray Region, Ethiopia
        date: 2010-01-19
       words: 7222
      flesch: 61
     summary: The HT1 (small crossed rectangle), HT2 (shaded dots) and LT (small open circle) basalts are shown for comparison on c, e & f. HT2 overlaps fields of sequence 2 & 3, HT1 overlaps fields of evolved sequence 3, Sequence 4, 5 and 6, whereas LT basalts do not overlap any of Maychew sequences (when incompatible elements such as Nb & La are considered). The smooth increase of La/LuN ratios in lower sequences reflect the general decrease of degree of partial melting that sampled heterogeneous packages of mantle plume materials.
    keywords: basalts; cncs; ethiopian; fig; flood; lavas; maychew; mekelle; samples; sequence; university; volume
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        item: #20 of 29
          id: mejs-49649
      author: Tadesse, N; Bheemalingeswara, K; Abdulaziz, M
       title: Hydrogeological Investigation and Groundwater Potential Assessment in Haromaya Watershed, Eastern Ethiopia
        date: 2010-01-19
       words: 7490
      flesch: 63
     summary: TraceTrace Trace Trace Trace Trace Trace Trace Trace Trace Trace Trac HCO3 - 395.7 418.1 2 23 .1 3 35 37 423.1 43 .5 5478.7 6.4 311 43 5.9 181.7 8.3 398.2 3 430.6 328 5 SO4 -2 11.28 17.33 19 6 3 46 1 .95 17.3 .5 Hydrogeological field investigation was concentrated more on differentiating the rock units ©CNCS Mekelle University 28 Nata, T., Bheemalingeswara, K and Abdulaziz, M (MEJS) Volume 2 (1): 26-48, 2010 of groundwater significance (such as the degree of fracturing of the rock units, the extent of weathering, the type and degree of cementation, the thickness of the formations, the grain size, shape and sorting, and the clay proportion) and in collecting hydrogeological information, i.e., locating of water points, collection of water samples, and measurement of discharge of wells.
    keywords: abdulaziz; area; groundwater; mekelle; nata; pumping; sandstone; trace; university; volume; water; watershed
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        item: #21 of 29
          id: mejs-49654
      author: Yirga, G; Teferi, M
       title: Participatory Technology and Constraints Assessment to Improve the Livelihood of Beekeepers in Tigray Region, northern Ethiopia
        date: 2010-01-19
       words: 6180
      flesch: 53
     summary: Many of the districts in Tigray, Wollo and Hararege and in some other parts of the country which are covered with marginal forests do have relatively low potential in honey production (Beyene and David, 2007). On a world level, Ethiopia is fourth in beeswax and tenth in honey production (Ayalew and Gezehegn, 1991).
    keywords: bee; beekeepers; beekeeping; cent; development; ethiopia; honey; honeybee; management; production; region; tigray; university
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        item: #22 of 29
          id: mejs-49656
      author: Kahsay, G; G/Egziabher, A
       title: Quality Assessment of the Commonly Prescribed Antimicrobial Drug, Ciprofloxacin Tablets, Marketed in Tigray, Ethiopia
        date: 2010-01-19
       words: 4357
      flesch: 58
     summary: In several developing countries, drug quality is a source of concern. The safety and efficacy of drug products can be guaranteed when their quality is reliable and reproducible from batch to batch.
    keywords: brands; ciprofloxacin; dissolution; drug; mekelle; products; quality; tablets; test; university
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        item: #23 of 29
          id: mejs-49657
      author: Bayray, A
       title: Knowledge, Attitude, and Practice of Voluntary Counseling and Testing for HIV among University Students, Tigray, Northern Ethiopia.
        date: 2010-01-19
       words: 3618
      flesch: 58
     summary: A 2003 report from the global HIV prevention working group revealed that less than one in five persons is at risk of HIV and had access to basic HIV prevention services globally. The commonly given perceived barriers of HIV tests were low risk perception and fear of stigma and discrimination if the follows test positive, more than half (55%) of adolescents preferred to be counseled by professionally of any sex but older than their age (Lemessa, 2005 ).
    keywords: ethiopia; hiv; mekelle; respondents; study; university; vct
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        item: #24 of 29
          id: mejs-57675
      author: None
       title: 403 Forbidden
        date: None
       words: 19
      flesch: 68
     summary: Apache/2.4.46 (Ubuntu) Server at www.ajol.info Port 443 403 Forbidden Forbidden You don't have permission to access this resource.
    keywords: apache/2.4.46
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        item: #25 of 29
          id: mejs-57678
      author: Nedaw, D
       title: Water Balance and Groundwater Quality of Koraro Area, Tigray, Northern Ethiopia
        date: 2010-08-10
       words: 5708
      flesch: 63
     summary: Mean electrical conductivity of water samples from different sources varies significantly. Piper plot for water samples A) hand dug well, B) Spring samples.
    keywords: area; concentration; groundwater; hand; mekelle; samples; study; water; wells
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        item: #26 of 29
          id: mejs-57679
      author: Amare, K
       title: Petrographic Studies of Rocks from The Chesapeake Bay Impact Structure (USA): Implication for Moderate Shock Pressures in Sedimentary Breccias
        date: 2010-08-10
       words: 6087
      flesch: 62
     summary: Chesapeake Bay impact structure drilled. Histogram showing orientations of PDFs in quartz from Chesapeake Bay crater (from Exmore breccia).
    keywords: bay; breccia; chesapeake; crater; grains; impact; quartz; samples; shock; structure
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        item: #27 of 29
          id: mejs-63682
      author: Rama Ravi Kumar, ES; Venkateswara Rao, J; Srinivas kumar, V
       title: Characterization of Distributive and Standard Ideals in Semilattices
        date: 2011-02-17
       words: 6276
      flesch: 90
     summary: Y= ∨ ∧ ∨ © CNCS, Mekelle University ISSN:2220-184X 31 Rama Ravi Kumar,E.S., Venkateswara Rao, J and Srinivas Kumar,V (MEJS) Volume 3 (1):20-36, 2011 ( )= D X Y∨ ∧ ( )( ) ( )= D D X X Y∨ ∧ ∨ ∧ (by absorption property) ( )( ) ( )= D X D X Y∨ ∧ ∨ ∧ ( ) ( )=D X Y D X D Y∧ ∨ ∨ ∨
    keywords: x y; ∨ ∨
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        item: #28 of 29
          id: mejs-80114
      author: Waktole, S; Bhaskar, RN
       title: Effect of Bio-inoculants Applied to M5 Mulberry Under Rain-fed Condition on Growth and Cocoon Traits Performance of Silkworm, Bombyxmori L.
        date: 2012-08-13
       words: 4268
      flesch: 61
     summary: Thus it was deemed necessary to investigate the effect of bio-inoculants application to rain-fed M5 mulberry variety on growth, development and cocoon traits of mulberry silkworm (PM x CSR2),B. mori L. 2. MATERIAL AND METHODS Influence of bio-inoculants (Azotobacter sp. @ The direct influence of bio-inoculants application along with organic manures and chemical fertilizers has significant influence on cocoon and post cocoon variables of PM x CSR2 silkworm breed both in the first and second crops.
    keywords: bio; cocoon; crop; growth; larval; mulberry; silkworm; weight
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        item: #29 of 29
          id: mejs-85330
      author: Konka, B; Gebreselassie, S; Hussen, EN
       title: Petrography and geochemistry of ferricrete near Shire, northern Ethiopia
        date: 2013-02-11
       words: 5791
      flesch: 50
     summary: Out of 30 samples, 5 each are from metavolcanic, intrusive granite and ferruginous sandstone rocks and 15 from ferricrete (both lateral and vertical). Paragenetic sequence of iron minerals seems to have developed in the following manner.
    keywords: ebrahim; ethiopia; ferricrete; goethite; hematite; horizon; iron; mekelle; quartz; rocks; sandstone; sub; university
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