TY  - CHAP
AU  - Chen, Ying Long
AU  - Đalović, Ivica
AU  - Siddique, Kadambot
PY  - 2018
UR  - http://fiver.ifvcns.rs/handle/123456789/3744
AB  - Root system architecture (RSA) influences root foraging and resource uptake from the soil and thus determines plant growth and productivity in grain legumes. Understanding RSA, nutrient uptake and its response to drought and other abiotic stresses is vital for breeding super genotypes for efficient water and nutrient acquisition and with enhanced adaptation to edaphic stresses. This chapter describes the role of root architecture in plant health, available approaches for measuring root architecture, variability of RSA traits across genotypes and its implications for breeding drought-resistant varieties. The chapter explains how combined root phenotyping, non-destructive imaging, root model simulations and molecular techniques can serve as tools in breeding legume genotypes with optimised root system for enhanced adaptation to target environments.
PB  - Cambridge : Burleigh Dodds Science Publishing
T2  - Achieving sustainable cultivation of grain legumes, Volume 1: Advances in breeding and cultivation techniques
T1  - Advances in understanding grain legume physiology: understanding root architecture, nutrient uptake and response to abiotic stress
EP  - 18
SP  - 1
UR  - https://hdl.handle.net/21.15107/rcub_fiver_3744
ER  - 

@inbook{
author = "Chen, Ying Long and Đalović, Ivica and Siddique, Kadambot",
year = "2018",
abstract = "Root system architecture (RSA) influences root foraging and resource uptake from the soil and thus determines plant growth and productivity in grain legumes. Understanding RSA, nutrient uptake and its response to drought and other abiotic stresses is vital for breeding super genotypes for efficient water and nutrient acquisition and with enhanced adaptation to edaphic stresses. This chapter describes the role of root architecture in plant health, available approaches for measuring root architecture, variability of RSA traits across genotypes and its implications for breeding drought-resistant varieties. The chapter explains how combined root phenotyping, non-destructive imaging, root model simulations and molecular techniques can serve as tools in breeding legume genotypes with optimised root system for enhanced adaptation to target environments.",
publisher = "Cambridge : Burleigh Dodds Science Publishing",
journal = "Achieving sustainable cultivation of grain legumes, Volume 1: Advances in breeding and cultivation techniques",
booktitle = "Advances in understanding grain legume physiology: understanding root architecture, nutrient uptake and response to abiotic stress",
pages = "18-1",
url = "https://hdl.handle.net/21.15107/rcub_fiver_3744"
}

Chen, Y. L., Đalović, I.,& Siddique, K.. (2018). Advances in understanding grain legume physiology: understanding root architecture, nutrient uptake and response to abiotic stress. in Achieving sustainable cultivation of grain legumes, Volume 1: Advances in breeding and cultivation techniques
Cambridge : Burleigh Dodds Science Publishing., 1-18.
https://hdl.handle.net/21.15107/rcub_fiver_3744

Chen YL, Đalović I, Siddique K. Advances in understanding grain legume physiology: understanding root architecture, nutrient uptake and response to abiotic stress. in Achieving sustainable cultivation of grain legumes, Volume 1: Advances in breeding and cultivation techniques. 2018;:1-18.
https://hdl.handle.net/21.15107/rcub_fiver_3744 .

Chen, Ying Long, Đalović, Ivica, Siddique, Kadambot, "Advances in understanding grain legume physiology: understanding root architecture, nutrient uptake and response to abiotic stress" in Achieving sustainable cultivation of grain legumes, Volume 1: Advances in breeding and cultivation techniques (2018):1-18,
https://hdl.handle.net/21.15107/rcub_fiver_3744 .

TY  - CHAP
AU  - Chen, Ying Long
AU  - Đalović, Ivica
AU  - Rengel, Zed
PY  - 2015
UR  - http://fiver.ifvcns.rs/handle/123456789/3742
AB  - Root system architecture determines crop capacity to acquire water and nutrients in the dynamic and variable soil environment. Increasing attention is paid to searching for optimal root traits to improve resource uptake efficiency and adaptation to heterogeneous soil conditions. This chapter summarises genetic variability and plasticity in root traits relevant to increased efficiency of soil resource acquisition. Approaches available for high-throughput phenotyping of root architecture traits at both laboratory and field scales are critically assessed. The advent of several novel imaging technologies such as X-ray computed tomography coupled with image-analysing software packages offers a great opportunity to non-invasively assess root architecture and its interactions with soil environments. The use of three-dimensional structure–function simulation root models is complementary to phenotyping methods, providing assistance in the crop breeding programmes. We also discuss applications and limitations of these novel visualisation technologies in characterising root growth and the root–soil interactions.
PB  - Springer India
T2  - Phenomics in Crop Plants: Trends, Options and Limitations
T1  - Phenotyping for Root Traits
EP  - 128
SP  - 101
DO  - 10.1007/978-81-322-2226-2_8
ER  - 

@inbook{
author = "Chen, Ying Long and Đalović, Ivica and Rengel, Zed",
year = "2015",
abstract = "Root system architecture determines crop capacity to acquire water and nutrients in the dynamic and variable soil environment. Increasing attention is paid to searching for optimal root traits to improve resource uptake efficiency and adaptation to heterogeneous soil conditions. This chapter summarises genetic variability and plasticity in root traits relevant to increased efficiency of soil resource acquisition. Approaches available for high-throughput phenotyping of root architecture traits at both laboratory and field scales are critically assessed. The advent of several novel imaging technologies such as X-ray computed tomography coupled with image-analysing software packages offers a great opportunity to non-invasively assess root architecture and its interactions with soil environments. The use of three-dimensional structure–function simulation root models is complementary to phenotyping methods, providing assistance in the crop breeding programmes. We also discuss applications and limitations of these novel visualisation technologies in characterising root growth and the root–soil interactions.",
publisher = "Springer India",
journal = "Phenomics in Crop Plants: Trends, Options and Limitations",
booktitle = "Phenotyping for Root Traits",
pages = "128-101",
doi = "10.1007/978-81-322-2226-2_8"
}

Chen, Y. L., Đalović, I.,& Rengel, Z.. (2015). Phenotyping for Root Traits. in Phenomics in Crop Plants: Trends, Options and Limitations
Springer India., 101-128.
https://doi.org/10.1007/978-81-322-2226-2_8

Chen YL, Đalović I, Rengel Z. Phenotyping for Root Traits. in Phenomics in Crop Plants: Trends, Options and Limitations. 2015;:101-128.
doi:10.1007/978-81-322-2226-2_8 .

Chen, Ying Long, Đalović, Ivica, Rengel, Zed, "Phenotyping for Root Traits" in Phenomics in Crop Plants: Trends, Options and Limitations (2015):101-128,
https://doi.org/10.1007/978-81-322-2226-2_8 . .