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The International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) is a non-profit, non-political organization that conducts agricultural research for development in Asia and sub-Saharan Africa with a wide array of partners throughout the world. Covering 6.5 million square kilometers of land in 55 countries, the semi-arid or dryland tropics has over 2 billion people, and 644 million of these are the poorest of the poor. ICRISAT and its partners help empower these poor people to overcome poverty, hunger and a degraded environment through better agriculture.
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251 to 260 of 274 Results
Oct 17, 2018 - Genotypic
Rajeev K. Varshney; Chengcheng Shi; Mahendar Thudi; Cedric Mariac; Jason Wallace; Peng Qi; He Zhang; Yusheng Zhao; Xiyin Wang; Abhishek, Rathore; Rakesh K. Srivastava; Annapurna Chitikineni; Guangyi Fan; Prasad Bajaj; Somashekhar Punnuri; Gupta SK; Hao Wang; Yong Jiang; Marie Couderc; Mohan A. V. S. K. Katta; Dev R. Paudel; K. D. Mungra; Wenbin Chen; Karen R. Harris-Shultz; Vanika Garg; Neetin Desai; Dadakhalandar Doddamani; Ndjido Ardo Kane; Joann A. Conner; Arindam Ghatak; Palak Chaturvedi; Sabarinath Subramaniam; Om Prakash Yadav; Cécile Berthouly-Salazar; Falalou Hamidou; Jianping Wang; Xinming Liang; Jérémy Clotault; Hari D. Upadhyaya; Philippe Cubry; Benedicte Rhone; Mame Codou Gueye; Ramanjulu Sunkar; Christian Dupuy; Francesca Sparvoli; Shifeng Cheng; R. S. Mahala; Bharat Singh; Rattan S. Yadav; Eric Lyons; Swapan K. Datta; C. T. Hash; Katrien M. Devos; Edward Buckler; Jeffrey L. Bennetzen; Andrew H. Paterson; Peggy Ozias-Akins; Stefania Grando; Jun Wang; Trilochan Mohapatra; Wolfram Weckwerth; Jochen C. Reif; Xin Liu; Yves Vigouroux; Xun Xu, 2018, "Data files related to Pearl millet draft genome assembly v1.1, scaffolds and annotations", https://doi.org/10.21421/D2/SY6VXQ, ICRISAT Dataverse, V1
The data files contains draft genome sequence of Pearl Millet along with its structural and functional annotation. The sequence of seven chromosomes are available in FASTA file "pearl_millet_v1.1.fa", whereas those assembled sequences (scaffolds) which could not be mapped to any...
Dec 11, 2013 - Social Science
Homann-Kee Tui .S; Bandason. E; Maute. F, 2016, "Crop Residue use in Small holder Crop Livestock Systems", https://doi.org/10.21421/D2/7H0FQJ, ICRISAT Dataverse, V1
The study presents the result of a detailed system level analysis under the Systemwide Livestock Programme (SLP) using quantitative household data that was collected using stratified random sampling techniques from 20 households each from 8 villages from 3 districts of Southern A...
Apr 14, 2015 - Social Science
P Parthasarathy Rao; Lagesh MA ; Deb UK; Jagadeesh E ; Md. Golam Faruque ; Md. Waji Ullah; Chowdhury Saleh Ahmed; Roland Nathan Mandal; Bijoya Paul ; Tazeen Fatima Khan, 2016, "Crop Livestock Typology in South Asia", https://doi.org/10.21421/D2/XTGNW0, ICRISAT Dataverse, V1
A crop-livestock typology for two South Asian countries namely India and Bangladesh has been constructed using Agricultural activity - based approach (AAA). The classification identifies systems / zones having similar features (agro-climatic and socioeconomic) for agricultural de...
Oct 25, 2016 - Genotypic
P. Radhika; S. J. M. Gowda; N. Y. Kadoo; L. B. Mhase; B. M. Jamadagni; M. N. Sainani; S. Chandra; V. S. Gupta, 2016, "Consensus intra-specific map of Chickpea from two RILs (JG62 × Vijay and Vijay × ICC4958)", https://doi.org/10.21421/D2/HS67C2, ICRISAT Dataverse, V1
The map spanned 739.6 cM with 230 markers at an average distance of 3.2 cM between markers. CMap Visualization Links: Consensus Intra-specific DOI: doi:10.1007/s00122-007-0556-7
Sep 28, 2018 - Phenotypic
Vinutha K.S; Khan, A.A; Prakasham R.S; Srinivas Rao P; Ravi D; Prasad K.V.S.V; Ramana Reddy Y; Blummel M, 2018, "Comparisons of ensiled Maize, Sorghum and Pearl millet forages fed to sheep", https://doi.org/10.21421/D2/CLSYRX, ICRISAT Dataverse, V1, UNF:6:jylVdyQUHA9AC5Fip7ZS2A==
Water-use efficient sorghum (7) and pearl millet (5) forages were compared with reference maize forage as silage tested with Nellore Brown sheep. Anti-nutritive factors associated with sorghum like dhurrin were undetectable in the silages, although present in the fresh forage. A...
Sep 9, 2016 - Phenotypic
Vadez, Vincent; Kholova Jana; Dharani Suresh, 2016, "Comparison of the probability of tempertaure exceeding 33ºC and 36ºC during flowering in Sorghum crop in Mali", https://doi.org/10.21421/D2/2MYMEI, ICRISAT Dataverse, V1
The maps compare the probability of tempertaure exceeding 33ºC and 36ºC during flowering in Sorghum crop in Mali.
Jan 9, 2015 - Social Science
Singh Piara ; Nedumaran S; Gupta SK; Srinivas K; Bantilan MCS, 2016, "Climate change impacts and potential benefits of drought tolerance in Pearl millet for adapting to climate change", https://doi.org/10.21421/D2/XDNUE8, ICRISAT Dataverse, V1
The study presents the results of simulation exercise of Pearl millet crop in future climate change scenarios using DSSAT model in select locations in India and two locations in West Africa. ICMH356 and Sharda cultivars were used in simulations for Indian locations and CIVT culti...
Jan 9, 2013 - Social Science
Singh Piara; Nedumaran S; Bantilan MCS, 2016, "Climate change impacts and potential benefits of drought and heat tolerance in Chickpea in South Asia and Eastern and Southern Africa", https://doi.org/10.21421/D2/8VIXJH, ICRISAT Dataverse, V1
This data set was collected as part of Global Futures Project to assess climate change impacts and potential benefits of drought and heat tolerance in Chickpea in South Asia and Eastern and Southern Africa using DSSAT crop modeling suite. This minimum data set contain experimenta...
Oct 25, 2016 - Genotypic
Rajeev K. Varshney; Mahendar Thudi; Spurthi N. Nayak; Pooran M. Gaur; Junichi Kashiwagi; L. Krishnamurthy; Deepa Jaganathan; Jahnavi Koppolu; Abhishek Bohra; Shailesh Tripathi; Abhishek, Rathore; Aravind K. Jukanti; Veera Jayalakshmi; Anilkumar Vemula; S. J. Singh; Mohammad Yasin; M. S. Sheshshayee; K. P. Viswanatha, 2016, "Chickpea Individual and consensus genetic map data for ICC 283 x ICC 826, ICC 4958 x ICC 1882", https://doi.org/10.21421/D2/6D13J9, ICRISAT Dataverse, V1
Analysis of phenotypic data for 20 drought tolerance traits in 1–7 seasons at 1–5 locations together with genetic mapping data for two mapping populations provided 9 QTL clusters of which one present on CaLG04 has a high potential to enhance drought tolerance in chickpea improvem...
Oct 25, 2016 - Genotypic
Pavana J Hiremath; Ashish Kumar; R. Varma Penmetsa; Andrew D Farmer; Jessica A. Schlueter; Siva K. Chamarthi; Adam M. Whaley; Noelia Carrasquilla-Garcia; Pooran M. Gaur; Hari D. Upadhyaya; P. B. Kavi Kishor; Trushar M. Shah; Douglas R. Cook; Rajeev K. Varshney, 2016, "Chickpea genetic map comprising 1328 marker loci", https://doi.org/10.21421/D2/YC6QWG, ICRISAT Dataverse, V1
A second-generation genetic map comprising 1328 marker loci including novel 625 CKAMs, 314 TOG-SNPs and 389 published marker loci with an average inter-marker distance of 0.59 cM. CMap Visualization Links: 1328 loci map DOI: doi:10.1111/j.1467-7652.2012.00710.x
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