Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Srinivas, Tavva"'
Autor:
Islam, Muhammad, Siddique, Kadambot H.M., Padhye, Lokesh P. *, Pang, Jiayin, Solaiman, Zakaria M., Hou, Deyi, Srinivasarao, Cherukumalli, Zhang, Tao, Chandana, Pebbeti, Venu, Nakeertha, Prasad, J.V.N.S., Srinivas, Tavva, Singh, Rajbir, Kirkham, M.B., Bolan, Nanthi
Publikováno v:
In Advances in Agronomy 2024 185:153-249
Autor:
Islam, Muhammad, Siddique, Kadambot H.M., Padhye, Lokesh P., Pang, Jiayin, Solaiman, Zakaria M., Hou, Deyi, Srinivasarao, Cherukumalli, Zhang, Tao, Chandana, Pebbeti, Venu, Nakeertha, Prasad, J.V.N.S., Srinivas, Tavva, Singh, Rajbir, Kirkham, M.B., Bolan, Nanthi
Publikováno v:
Advances in Agronomy; January 2024, Vol. 185 Issue: 1 p153-249, 97p
Publikováno v:
Indian Journal of Animal Sciences, Vol 86, Iss 9 (2016)
An attempt was made to identify factors influencing goat production and marketing which is at subsistence level in crop-livestock production system and to scale it up to commercial level in Nangarhar and Baghlan provinces of Afghanistan. Data were co
Externí odkaz:
https://doaj.org/article/fb83ca90a6224ae08c6c1d90de15983d
Publikováno v:
Outlook on Agriculture. 46:13-19
Afghanistan is a net importer of wheat which is the staple food in the country. In order to improve the levels of food sufficiency, prevailing large yield gaps in wheat need to be reduced. This study assessed the reasons/factors influencing low wheat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84c836d9635ef082e81adb49a6359d92
https://doi.org/10.1177/0030727016689632
https://doi.org/10.1177/0030727016689632
Autor:
Yashpal Singh Saharawat, Srinivas Tavva, Murari Singh, Nigamananda Swain, Kateb Shams, Javed Rizvi
Publikováno v:
Scientia Agricola, Volume: 76, Issue: 1, Pages: 41-46, Published: FEB 2019
Scientia Agricola, Vol 76, Iss 1, Pp 41-46
Scientia Agricola v.76 n.1 2019
Scientia Agrícola
Universidade de São Paulo (USP)
instacron:USP
Scientia Agricola, Vol 76, Iss 1, Pp 41-46
Scientia Agricola v.76 n.1 2019
Scientia Agrícola
Universidade de São Paulo (USP)
instacron:USP
The restricted maximum likelihood method was used to assess performance following the introduction of improved varieties of chickpea and mungbean (an important source of plant protein in Afghanistan) as compared to local varieties using 242 farmer pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92a331487e975b458d5926440b80720a
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162019000100041&lng=en&tlng=en
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162019000100041&lng=en&tlng=en
Autor:
Srinivas, Tavva1 s.tavva@cgiar.org, Aw‐Hassan, Aden2 A.Aw-Hassan@cgiar.org, Rischkowsky, Barbara3 B.Rischkowsky@cgiar.org, Tibbo, Markos4 Markos.Tibbo@fao.org, Rizvi, Javed1 j.rizvi@cgiar.org, Naseri, Abdul Halim5 abdulhalim.nasery@gmail.com
Publikováno v:
Agribusiness. Spring2013, Vol. 29 Issue 2, p133-146. 14p. 5 Charts, 4 Graphs, 1 Map.
Autor:
Srinivas, Tavva1 srinictcri@yahoo.com
Publikováno v:
Australian Journal of Agricultural & Resource Economics. Jul2009, Vol. 53 Issue 3, p367-383. 17p. 6 Charts.
Autor:
Srinivas Tavva, Murari Singh, Javed Rizvi, Yashpal Singh Saharawat, Nigamananda Swain, Kateb Shams
Publikováno v:
Scientia Agricola, Vol 76, Iss 1, Pp 41-46
ABSTRACT: The restricted maximum likelihood method was used to assess performance following the introduction of improved varieties of chickpea and mungbean (an important source of plant protein in Afghanistan) as compared to local varieties using 242
Externí odkaz:
https://doaj.org/article/32327cba5da54133a965afe6f7313a9a
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