Evidence map›Paper›PMID 34305956›Full record

ArticleFrontiers in plant science2021

Screening of Key Drought Tolerance Indices for Cotton at the Flowering and Boll Setting Stage Using the Dimension Reduction Method.

FengLei Sun, Qin Chen, QuanJia Chen, Menghui Jiang, Wenwei Gao, YanYing Qu

Abstract read
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Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

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41citing papers in PubMed
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3 · Its place in the literature

Who cites it

41 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

FengLei SunCollege of Agronomy, Xinjiang Agricultural University, Ürümqi, China.
Qin ChenCollege of Agronomy, Xinjiang Agricultural University, Ürümqi, China.
QuanJia ChenCollege of Agronomy, Xinjiang Agricultural University, Ürümqi, China.
Menghui JiangCollege of Agronomy, Xinjiang Agricultural University, Ürümqi, China.
Wenwei GaoCollege of Agronomy, Xinjiang Agricultural University, Ürümqi, China.
YanYing QuCollege of Agronomy, Xinjiang Agricultural University, Ürümqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drought is one of the main abiotic stresses that seriously influences cotton production. Many indicators can be used to evaluate cotton drought tolerance, but the key indicators remain to be determined. The objective of this study was to identify effective cotton drought tolerance indicators from 19 indices, including morphology, photosynthesis, physiology, and yield-related indices, and to evaluate the yield potential of 104 cotton varieties under both normal and drought-stress field conditions. Combined with principal component analysis (PCA) and a regression analysis method, the results showed that the top five PCs among the 19, with eigenvalues > 1, contributed 65.52, 63.59, and 65.90% of the total variability during 2016 to 2018, respectively, which included plant height (PH), effective fruit branch number (EFBN), single boll weight (SBW), transpiration rate (Tr) and chlorophyll (Chl). Therefore, the indicator dimension decreased from 19 to 5. A comparison of the 19 indicators with the 5 identified indicators through PCA and a combined regression analysis found that the results of the final cluster of drought tolerance on 104 cotton varieties were basically consistent. The results indicated that these five traits could be used in combination to screen cotton varieties or lines for drought tolerance in cotton breeding programs, and Zhong R2016 and Xin lu zao 45 exhibited high drought tolerance and can be selected as superior parents for good yield performance under drought stress.

Indexed as

cottondrought resistancedrought resistance indicesmembership function valueprincipal component analysis

Identifiers

PMID34305956
PMCPMC8299416

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.