21 to 30 of 299 Results
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. |
Dec 15, 2021
Zaw, Hein; Raghava, Chitra; Pocsedio, Arnel; Swamy, B. P. Mallikarjuna; Jubay, Mona Liza; Singh, Rakesh Kumar; Bonifacio, Justine; Mauleon, Ramil; Hernandez, Jose E.; Mendioro, Merlyn, S.; Gregorio, Glenn B.; Leung, Hei, 2021, "Replication data for "Exploring genetic architecture of grain yield and quality traits in a 16-way indica by japonica rice MAGIC global population"", https://doi.org/10.7910/DVN/CANBL7, Harvard Dataverse, V1
This is the replication data for the article published in Scientific Reports 9, Article number:19605 (2019)) |
Sep 2, 2021
Chivenge, Pauline, 2021, "A database of previously published studies for a systematic review on site-specific nutrient management in Africa and Asia", https://doi.org/10.7910/DVN/H23MVL, Harvard Dataverse, V1
Data sets included in the database evaluated Site-Specific Nutrient Management (SSNM) and Farmers’ Fertilizer Practice (FFP) on maize, rice and wheat in Africa and Asia. Information captured includes, with countries, cropping systems, crop type, seasons, climatic conditions, number of replications, number of nitrogen (N) splits, N, phosphorus (P) a... |
Jul 29, 2021
Jayasiri, M.M.J.G.C.N., 2021, "Rdata_ Ecotoxicity data of pesticide from Deduru Oya Basin Sri Lanka", https://doi.org/10.7910/DVN/PSIN0Z, Harvard Dataverse, V1, UNF:6:dZSI5Va5uZ/6QwnnHpo1uw== [fileUNF]
The dataset includes details of pesticide application (type, frequency and rate) in Deduru Oya Basin of Sri Lanka and environmental impact computed using EIQ and Ecotox tools. |
Jul 13, 2021 - IRRI Long Term Continuous Cropping Experiment
International Rice Research Institute (IRRI), 2018, "Replication Data: IRRI Long Term Continuous Cropping Experiment 2017", https://doi.org/10.7910/DVN/SVQ1XQ, Harvard Dataverse, V2, UNF:6:sRW6RzoYx62b8VZMtHzfpw== [fileUNF]
This study contains grain yield data collected from IRRI's long term continuous cropping experiment, 2017 |
Jul 13, 2021 - IRRI Long Term Continuous Cropping Experiment
International Rice Research Institute (IRRI), 2018, "Replication Data: IRRI Long Term Continuous Cropping Experiment 2016", https://doi.org/10.7910/DVN/8R7D8R, Harvard Dataverse, V2, UNF:6:4lPgOnQY2oypXrYmizS1cA== [fileUNF]
This study contains grain yield data collected from IRRI's long term continuous cropping experiment, 2016 |
Jul 13, 2021 - IRRI Long Term Continuous Cropping Experiment
International Rice Research Institute (IRRI), 2018, "Replication Data: IRRI Long Term Continuous Cropping Experiment 2015", https://doi.org/10.7910/DVN/1UP63T, Harvard Dataverse, V2, UNF:6:KY5hDVYH7fqxWCTFy/+XKw== [fileUNF]
This study contains grain yield data collected from IRRI's long term continuous cropping experiment, 2015 |
Jul 13, 2021 - IRRI Long Term Continuous Cropping Experiment
International Rice Research Institute (IRRI), 2018, "Replication Data: IRRI Long Term Continuous Cropping Experiment 2014", https://doi.org/10.7910/DVN/O9QTTL, Harvard Dataverse, V2, UNF:6:fR7SsbGp4wMkjgjCp1SBRw== [fileUNF]
This study contains grain yield data collected from IRRI's long term continuous cropping experiment, 2014 |