Literature DB >> 32481055

Modelling the effect of plant water use traits on yield and stay-green expression in sorghum.

Jana Kholová1, Tharanya Murugesan1, Sivasakthi Kaliamoorthy1, Srikanth Malayee1, Rekha Baddam1, Graeme L Hammer2, Greg McLean3, Santosh Deshpande1, C Thomas Hash1, Peter Q Craufurd1, Vincent Vadez1.   

Abstract

Post-rainy sorghum (Sorghum bicolor (L.) Moench) production underpins the livelihood of millions in the semiarid tropics, where the crop is affected by drought. Drought scenarios have been classified and quantified using crop simulation. In this report, variation in traits that hypothetically contribute to drought adaptation (plant growth dynamics, canopy and root water conducting capacity, drought stress responses) were virtually introgressed into the most common post-rainy sorghum genotype, and the influence of these traits on plant growth, development, and grain and stover yield were simulated across different scenarios. Limited transpiration rates under high vapour pressure deficit had the highest positive effect on production, especially combined with enhanced water extraction capacity at the root level. Variability in leaf development (smaller canopy size, later plant vigour or increased leaf appearance rate) also increased grain yield under severe drought, although it caused a stover yield trade-off under milder stress. Although the leaf development response to soil drying varied, this trait had only a modest benefit on crop production across all stress scenarios. Closer dissection of the model outputs showed that under water limitation, grain yield was largely determined by the amount of water availability after anthesis, and this relationship became closer with stress severity. All traits investigated increased water availability after anthesis and caused a delay in leaf senescence and led to a 'stay-green' phenotype. In conclusion, we showed that breeding success remained highly probabilistic; maximum resilience and economic benefits depended on drought frequency. Maximum potential could be explored by specific combinations of traits.

Entities:  

Year:  2014        PMID: 32481055     DOI: 10.1071/FP13355

Source DB:  PubMed          Journal:  Funct Plant Biol        ISSN: 1445-4416            Impact factor:   3.101


  8 in total

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Authors:  Mark Cooper; Kai P Voss-Fels; Carlos D Messina; Tom Tang; Graeme L Hammer
Journal:  Theor Appl Genet       Date:  2021-03-18       Impact factor: 5.699

Review 2.  In pursuit of a better world: crop improvement and the CGIAR.

Authors:  Jana Kholová; Milan Oldřich Urban; James Cock; Jairo Arcos; Elizabeth Arnaud; Destan Aytekin; Vania Azevedo; Andrew P Barnes; Salvatore Ceccarelli; Paul Chavarriaga; Joshua N Cobb; David Connor; Mark Cooper; Peter Craufurd; Daniel Debouck; Robert Fungo; Stefania Grando; Graeme L Hammer; Carlos E Jara; Charlie Messina; Gloria Mosquera; Eileen Nchanji; Eng Hwa Ng; Steven Prager; Sindhujan Sankaran; Michael Selvaraj; François Tardieu; Philip Thornton; Sandra P Valdes-Gutierrez; Jacob van Etten; Peter Wenzl; Yunbi Xu
Journal:  J Exp Bot       Date:  2021-07-10       Impact factor: 6.992

3.  SpaTemHTP: A Data Analysis Pipeline for Efficient Processing and Utilization of Temporal High-Throughput Phenotyping Data.

Authors:  Soumyashree Kar; Vincent Garin; Jana Kholová; Vincent Vadez; Surya S Durbha; Ryokei Tanaka; Hiroyoshi Iwata; Milan O Urban; J Adinarayana
Journal:  Front Plant Sci       Date:  2020-11-20       Impact factor: 5.753

4.  Transpiration response of two bread wheat lines differing in drought resilience and their backcross parent under dry-down conditions.

Authors:  Michael O Itam; Ammar Wahbi; Haruyuki Fujimaki; Hisashi Tsujimoto
Journal:  Breed Sci       Date:  2021-11-25       Impact factor: 2.086

5.  Machine Learning-Based Plant Detection Algorithms to Automate Counting Tasks Using 3D Canopy Scans.

Authors:  Serkan Kartal; Sunita Choudhary; Jan Masner; Jana Kholová; Michal Stočes; Priyanka Gattu; Stefan Schwartz; Ewaut Kissel
Journal:  Sensors (Basel)       Date:  2021-12-01       Impact factor: 3.576

6.  Pearl Millet Aquaporin Gene PgPIP2;6 Improves Abiotic Stress Tolerance in Transgenic Tobacco.

Authors:  Palakolanu Sudhakar Reddy; Mahamaya G Dhaware; Kaliamoorthy Sivasakthi; Kummari Divya; Marka Nagaraju; Katamreddy Sri Cindhuri; Polavarapu Bilhan Kavi Kishor; Pooja Bhatnagar-Mathur; Vincent Vadez; Kiran K Sharma
Journal:  Front Plant Sci       Date:  2022-03-09       Impact factor: 5.753

Review 7.  Optimizing Crop Water Use for Drought and Climate Change Adaptation Requires a Multi-Scale Approach.

Authors:  James D Burridge; Alexandre Grondin; Vincent Vadez
Journal:  Front Plant Sci       Date:  2022-04-29       Impact factor: 5.753

8.  Genetic basis of sorghum leaf width and its potential as a surrogate for transpiration efficiency.

Authors:  Xiaoyu Zhi; Graeme Hammer; Andrew Borrell; Yongfu Tao; Alex Wu; Colleen Hunt; Erik van Oosterom; Sean Reynolds Massey-Reed; Alan Cruickshank; Andries B Potgieter; David Jordan; Emma Mace; Barbara George-Jaeggli
Journal:  Theor Appl Genet       Date:  2022-08-07       Impact factor: 5.574

  8 in total

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