Combining quantitative trait loci analysis with physiological models to predict genotype-specific transpiration rates.

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Reduced nighttime transpiration is a relevant breeding target for high water-use efficiency in grapevine.The Sphagnome Project: enabling ecological and evolutionary insights through a genus-level sequencing project.

P2860

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P2860

Combining quantitative trait loci analysis with physiological models to predict genotype-specific transpiration rates.

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2014 nî lūn-bûn

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2014年の論文

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2014年学术文章

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2014年学术文章

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2014年学术文章

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2014年学术文章

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Combining quantitative trait l ...... -specific transpiration rates.

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Combining quantitative trait l ...... -specific transpiration rates.

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Combining quantitative trait l ...... -specific transpiration rates.

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Combining quantitative trait l ...... -specific transpiration rates.

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Combining quantitative trait l ...... -specific transpiration rates.

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Combining quantitative trait l ...... -specific transpiration rates.

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P1476

Combining quantitative trait l ...... -specific transpiration rates.

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P2093

Gretchen A Reuning

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Jack L Mullen

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William L Bauerle

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P2860

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Combining quantitative trait Loci analysis and an ecophysiological model to analyze the genetic variability of the responses of maize leaf growth to temperature and water deficit.

Genetic variation in Arabidopsis thaliana for night-time leaf conductance.

Hydraulic and chemical signalling in the control of stomatal conductance and transpiration.

Plant breeding and drought in C3 cereals: what should we breed for?

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P304

710-717

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P31

scholarly article

P356

10.1111/PCE.12429

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P433

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P478

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John K. McKay

P577

2014-09-26T00:00:00Z

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P698

25124388

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Combining quantitative trait loci analysis with physiological models to predict genotype-specific transpiration rates.

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P2860

P2860

Combining quantitative trait loci analysis with physiological models to predict genotype-specific transpiration rates.

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P1433

P1476

P2093

P2860

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P356

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P698

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P433

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P50

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P698