Analysis of Ecological Adaptability and Phenotypes of Rice Bean Germplasm Resources from Different Geographical Sources
CSTR:
Author:
Affiliation:

1.College of Agriculture, Yangtze University;2.Institute of Crop Sciences, Chinese Academy of Agricultural Sciences

Clc Number:

Fund Project:

China Agriculture Research System (CARS-08)

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Agronomic traits of 276 rice bean (Vigna umbellata) germplasm resources were evaluated in Beijing and Hainan, to provide information for new gene mining and utilization. The results showed that rice bean germplasm resources had obvious sensitivity to light and temperature. Among the 276 rice bean germplasms, 188 could flower and set seed in Beijing, while 271 could flower and set seed in Hainan. Young stems of most of the rice beans were purple (91.7%). The seeds were mainly yellow (44.9%) or red (33.0%). A large part of the germplasms were twining in Beijing (93.1%) but semi-twining in Hainan (64.9%). Comparative analysis of quantitative traits showed that the growth period, number of branches on the main stem, and 100-seed weight were greater in Beijing than in Hainan, while pod length and number of seeds per pod were in reverse. The average coefficient of variation for each trait of the rice beans growing in the two locations, in decreasing order, was number of branches on main stem (25.84%), 100-seed weight (25.34%), pod length (16.78%), number of seeds per pod (14.23%), and growth period (9.35%). The growth period and the number of branches on main stem of the same germplasm resources were less in lower latitude than in the higher latitude, while the length of pod, the number of seeds per pod and the 100-seed weight were not notably correlated with the geographical locations. Finally, 47 elite germplasms with early maturity, erect stems, long pod, or large seed were selected. The present study would provide information for further study on new gene mining and their application in breeding.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:October 23,2020
  • Revised:November 13,2020
  • Adopted:December 04,2020
  • Online: May 07,2021
  • Published:
Article QR Code
You are the th visitor 京ICP备09069690号-23
® 2024 All Rights Reserved
Supported by:Beijing E-Tiller Technology Development Co., Ltd.