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Pattern of Water Use and Seed Yield under Terminal Drought in Chickpea Genotypes

Overview of attention for article published in Frontiers in Plant Science, August 2017
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Title
Pattern of Water Use and Seed Yield under Terminal Drought in Chickpea Genotypes
Published in
Frontiers in Plant Science, August 2017
DOI 10.3389/fpls.2017.01375
Pubmed ID
Authors

Jiayin Pang, Neil C. Turner, Yan-Lei Du, Timothy D. Colmer, Kadambot H. M. Siddique

Abstract

Drought, particularly terminal drought, reduces the yield of chickpea (Cicer arietinum L.). Terminal drought tolerance and water use patterns were evaluated under controlled conditions in 10 genotypes of desi chickpea. Withholding water from early podding reduced vegetative growth, reproductive growth, seed yield, and water use efficiency for seed yield in all genotypes. The genotype Neelam, which produced the highest seed yield when water was withheld, used the least water when well-watered; however, its aboveground biomass at maturity did not differ significantly from six of the nine other genotypes. Indeed, the water-stressed Neelam had the lowest daily transpiration rate during the early stages of water stress and the highest during the later stages, thereby maintaining the highest soil water content in the first 16 days after water was withheld, which enabled higher pod production, lower pod abortion, and better seed filling. Genotypes differed in the threshold value of the fraction of transpirable soil water when flowering and seed set ceased in the water-stress treatment. We conclude that a conservative water use strategy benefits seed yield of chickpea exposed to water shortage during early podding.

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Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 15%
Student > Bachelor 5 9%
Student > Ph. D. Student 5 9%
Lecturer 2 4%
Professor 2 4%
Other 6 11%
Unknown 26 48%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 44%
Environmental Science 2 4%
Unspecified 1 2%
Computer Science 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 0 0%
Unknown 25 46%