11 to 20 of 289 Results
Murali Krishna Gumma, Andrew Nelson,, 2024, "South Asia rice map (2000-2001)", https://doi.org/10.7910/DVN/Z89S1W, Harvard Dataverse, V1
MODIS based rice system classification represents the 2000 wet season and 2001 dry season for South Asia. |
Andrew Nelson, Murali Krishna Gumma, 2024, "A map of lowland rice extent in the major rice growing countries of Asia", https://doi.org/10.7910/DVN/EQBNII, Harvard Dataverse, V1
MODIS based rice extent maps shows the general extent of rice in Asia compiled from analysis for 2000 to 2012. |
Sep 11, 2023
Thathapalli Prakash, Parthiban; Chebotarov, Dmytro; Zhang, Jianwei; Kudrna, David A; Torres, Ronaldo; Natividad, Mignon A; Quintana, Marinell R; Song, Jiaming; Maldonado Londoño, Carlos Ernesto; Hechanova, Sherry Lou; Jena, Kshirod; Wing, Rod; Henry, Amelia, 2023, "Genotype data for "Oryza glumaepatula: A wild relative to improve drought tolerance in cultivated rice"", https://doi.org/10.7910/DVN/U40WOU, Harvard Dataverse, V1
This archive holds single nucleotide polymorphism (SNP) data derived from second-generation sequencing (NGS) of the Oryza glumaepatula panel described in the manuscript below. The SNPs were called against a new Oryza glumaepatula reference genome described in the manuscript (NCBI accession # ALNU03000000 ). The format is binary PLINK format (datase... |
Aug 30, 2023
Laborte, Alice G.; Gutierrez, Mary Anne; Balanza, Jane Girly; Saito, Kazuki; Zwart, Sander J.; Boschetti, Mirco; Murty, MVR; Villano, Lorena; Aunario, Jorrel Khalil; Reinke, Russell; Koo, Jawoo; Hijmans, Robert J.; Nelson, Andrew, 2017, "RiceAtlas, a spatial database of global rice calendars and production", https://doi.org/10.7910/DVN/JE6R2R, Harvard Dataverse, V4, UNF:6:iXc6n2L1U0m17UlBc+ATtQ== [fileUNF]
RiceAtlas is a spatial database consisting of data on rice planting and harvesting dates by growing season and estimates of monthly production for all rice-producing countries. |
Aug 8, 2023
Mondal, Manoranjan; Batas, Mary Ann; Yadav, Sudhir, 2023, "Raw data of land use/crop diversity survey in polders of Coastal Bangladesh", https://doi.org/10.7910/DVN/E3NY8G, Harvard Dataverse, V1
Raw data to understand the crop diversity and land use in coastal zone of Bangladesh. The data contain geo-coordinates collected at the centre of fields under different crops. The data can be used to understand land use classification and adoption patterns. It covers a period of 2016 to 2023 |
Oct 25, 2022
Siangliw,Jonaliza; Thunnom,Burin; Natividad, Mignon A.; Quintana, Marinell R.; Chebotarov, Dmytro; McNally, Kenneth L.; Lynch,Jonathan P.; Brown,Kathleen M.; Henry, Amelia, 2022, "Response of Southeast Asian rice root architecture and anatomy phenotypes to drought stress", https://doi.org/10.7910/DVN/ISBMO4, Harvard Dataverse, V1
Drought stress in Southeast Asia greatly affects rice production, and the rice root system plays a substantial role in avoiding drought stress. In this study, we examined the phenotypic and genetic correlations among root anatomical, morphological, and agronomic phenotypes over multiple field seasons. A set of >200 rice accessions from Southeast As... |
Jul 5, 2022
Xie, Xiaobing; Quintana, Marinell R.; Sandhu, Nitika; Henry, Amelia, 2022, "Establishment method affects rice root plasticity in response to drought and its relationship with grain yield stability", https://doi.org/10.7910/DVN/LVYJQG, Harvard Dataverse, V1, UNF:6:Un+e0cblKnWq97xv4cKn7g== [fileUNF]
By responding to the variable soil environments in which they are grown, the roots of rice crops are likely to contribute to yield stability across a range of soil moistures, nutrient levels, and establishment methods. In this study, we explored different approaches to quantification of root plasticity and characterization of its relationship with... |
Jun 23, 2022
Liao,Qiong; Chebotarov, Dmytro; Islam, Mohammad S.; Quintana, Marinell R.; Natividad, Mignon A.; Marjorie De Ocampo1; Beredo, Joseph C.; Torres, Rolando O.; Zhang, Zhenhua; Song, Haixing; Price, Adam H.; McNally, Kenneth L.; Henry, Amelia, 2022, "Aus rice root architecture variation contributing to grain yield under drought suggests a key role of nodal root diameter class", https://doi.org/10.7910/DVN/MCP17S, Harvard Dataverse, V1
The aus rice variety group originated in stress‐prone regions and is a promising source for the development of new stress‐tolerant rice cultivars. In this study, an aus panel (~220 genotypes) was evaluated in field trials under well‐watered and drought conditions and in the greenhouse (basket, herbicide and lysimeter studies) to investigate relatio... |
Jun 23, 2022
Kumar,Santosh; Tripathi, Santosh; Singh, Suresh Prasad; Prasad, Archana; Akter, Fahamida; Syed, Md. Abu; Badri, Jyothi; Das, Sankar Prasad; Natividad, Mignon; Quintana, Marinell; Venkateshwarlu, Challa; Raman,Anitha; Yadav, Shailesh; Singh, Shravan K.; Swain, Padmini; Anandan, Annamalai; Yadaw, Ram Baran; Mandal, Nimai P; Verulkar, Satish B; Kumar, Arvind; Henry, Amelia, 2022, "Rice breeding for yield under drought has selected for longer flag leaves and lower stomatal density", https://doi.org/10.7910/DVN/H9BAO2, Harvard Dataverse, V1, UNF:6:j4jGqjuV+fDtZ+zV7srTvA== [fileUNF]
Direct selection for yield under drought has resulted in the release of a number of drought-tolerant rice varieties across Asia. In this study, we characterized the physiological traits that have been affected by this strategy in breeding trials across sites in Bangladesh, India, and Nepal. Drought- breeding lines and drought-tolerant varieties sho... |
Mar 8, 2022
Yadav, Sudhir, 2022, "Evaluation of gravity-led and energy-fed drainage for sustaining food security in the polders of the coastal zone of Bangladesh", https://doi.org/10.7910/DVN/UBJ4MA, Harvard Dataverse, V1
Dataset related to a study conducted in polder 30, in the medium-salinity region of the south-west coastal zone of Bangladesh, to examine the biophysical and economic feasibility of low-cost gravity (gravity-led) drainage. |
