Phenotypic Dissection of Drought Tolerance in Virginia and Carolinas within a Recombinant Inbred Line Population Involving a Spanish and a Virginia-Type Peanut Lines

Author:

Kumar Naveen1,Haak David C.2,Dunne Jeffrey C.3,Balota Maria1ORCID

Affiliation:

1. Tidewater Agricultural Research and Extension Center, Virginia Tech, Suffolk, VA 23437, USA

2. School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA 24060, USA

3. Crop and Soil Sciences, North Carolina State University, Raleigh, NC 27695, USA

Abstract

Peanut (Arachis hypogaea L.) is a rainfed crop grown in both tropical and subtropical agro-climatic regions of the world where drought causes around 20% yield losses per year. In the United States, annual losses caused by drought are around $50 million. The objective of this research was to (1) identify genetic variation for the normalized difference vegetation index (NDVI), canopy temperature depression (CTD), relative chlorophyll content by SPAD reading (SCMR), CO2 assimilation rate, and wilting among recombinant inbred lines (RILs) derived from two diverse parents N08086olJCT and ICGV 86015, to (2) determine if the physiological traits can be used for expediting selection for drought tolerance, and (3) experimental validation to identify lines with improved yield under water-limited conditions. Initially, 337 lines were phenotyped under rainfed production and a selected subset of 52 RILs were tested under rainout shelters, where drought was imposed for eight weeks during the midseason (July and August). We found that under induced drought, pod yield was negatively correlated with wilting and CTD, i.e., cooler canopy and high yield correlated positively with the NDVI and SPAD. These traits could be used to select genotypes with high yields under drought stress. RILs #73, #56, #60, and #31 performed better in terms of yield under both irrigated and drought conditions compared to check varieties Bailey, a popular high-yielding commercial cultivar, and GP-NC WS 17, a drought-tolerant germplasm.

Funder

USDA-AFRI

Publisher

MDPI AG

Reference50 articles.

1. FAOSTAT (2020, July 16). Food and Agriculture Organization of the United Nations. Available online: http://www.fao.org/faostat/en/#data/qc/visualize.

2. USDA (2020, April 10). Crop Acreage Data, Available online: https://fsa.usda.gov/news-room/efoia/electronic-reading-room/frequently-requested-information/crop-acreage-data/index.

3. USDA-NASS, US Department of Agriculture (2021, April 10). Crop Values 2020 Summary. National 246 Agricultural Statistics Service. Washington, DC. 502p. 2021, Available online: https://www.nass.usda.gov/statistics_by_state/regional_office/southern/includes/publications/crop_releases/annual_summary/annualcropprod2021.pdf.

4. Genetic Mapping of Drought Tolerance Traits Phenotyped under Varying Drought Stress Environments in Peanut (Arachis hypogaea L.);Ghosh;Euphytica,2022

5. Selection of Intermittent Drought Tolerant Lines across Years and Locations in the Reference Collection of Groundnut (Arachis hypogaea L.);Hamidou;Field Crop. Res.,2012

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3