Phenotypic data for flowering and maturity for rice bean (Vigna umbellata)

Rice bean (Vigna umbellata), an underrated legume, adapts to diverse climatic conditions with the potential to support food and nutritional security worldwide. It is used as a vegetable, minor food crop and a fodder crop, being a rich source of proteins, minerals, and essential fatty acids. However,...

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Hauptverfasser: Sahu, Tanmaya Kumar, Verma, Sachin Kumar, Gayacharan, Singh, Nagendra Pratap, Joshi, Dinesh Chandra, Wankhede, DP, Singh, Mohar, Bhardwaj, Rakesh, Singh, Badal, Parida, Swarup Kumar, Chattopadhyay, Debasis, Singh, Gyanendra Pratap, Singh, Amit Kumar
Format: Dataset
Sprache:eng
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Zusammenfassung:Rice bean (Vigna umbellata), an underrated legume, adapts to diverse climatic conditions with the potential to support food and nutritional security worldwide. It is used as a vegetable, minor food crop and a fodder crop, being a rich source of proteins, minerals, and essential fatty acids. However, little effort has been made to decipher the genetic and molecular basis of various useful traits in this crop. The submitted dataset contains the data for two economically important traits i.e., flowering and maturity for 100 diverse genotypes including four check varieties. The phenotypic evaluation of ricebean test genotypes and 4 checks ( PRR-1, PRR-2, RBL-6 and VRB-3) was conducted during the rainy season of year 2020 and 2021 at at the Experimental Farm of ICAR-National Bureau of Plant Genetic Resources, Issapur (28° 34′25″N, 76°50′41″E, 215 m msl) and Experimental Farm Hawalbagh, ICAR-Vivekananda Institute of Hill Agriculture following augumented design. The data contains the values of the the traits averaged over two locations in two years.The above dataset is a part of the following publication:Sahu, T.K., Verma, S.K., Gayacharan et al. Transcriptome-wide association mapping provides insights into the genetic basis and candidate genes governing flowering, maturity and seed weight in rice bean (Vigna umbellata). BMC Plant Biol 24, 379 (2024). https://doi.org/10.1186/s12870-024-04976-y
DOI:10.6084/m9.figshare.27249111