Soil Water Regime Affecting Correlation of Carbon Isotope Discrimination with Yield and Water‐Use Efficiency of Winter Wheat

Wang, Yanzhe; Zhang, Xiying; Zhang, Xiaoyu; Shao, Lei; Chen, Suying; Liu, Xiuwei

doi:10.2135/cropsci2014.11.0793

Cited by 15 publications

(11 citation statements)

References 32 publications

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“…For both experimental years, grain CID demonstrated strong linear relationships with grain yield; this finding agrees with the results reported from the studies conducted by Lopes and Reynolds (2010) and Araus et al (2008). Moreover, leaf CID decreased with increasing drought stress (Table 3), agreeing with the results of Wang et al (2016). At anthesis, leaf and grain CID exhibited strong positive relationships with RLWC and strong negative relationships with leaf temperature for both experimental years (Table 3).…”

Section: Discussionsupporting

confidence: 91%

Evaluation of Yield and Drought Using Active and Passive Spectral Sensing Systems at the Reproductive Stage in Wheat

Becker

Schmidhalter

2017

Front. Plant Sci.

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Active and passive sensors are available for ground-based, high-throughput phenotyping in the field. However, these sensor systems have seldom been compared with respect to their determination of plant water status and water use efficiency related parameters under drought conditions. In this study, five passive and active reflectance sensors, including a hyperspectral passive sensor, an active flash sensor (AFS), the Crop Circle, and the GreenSeeker, were evaluated to assess drought-related destructive and non-destructive morphophysiological parameters (ground cover, relative leaf water content, leaf temperature, and carbon isotope discrimination of leaves and grain) and grain yield of twenty wheat (Triticum aestivum L.) cultivars. Measurements were conducted in a 2-year study, including a drought stress and a control environment under field conditions. A comparison of the active sensors at the heading, anthesis and grain-filling stages indicated that the Crop Circle provided the most significant and robust relationships with drought-related parameters (relative leaf water content and leaf and grain carbon isotope discrimination). In comparison with the passive sensor, the five water and normalized water indices (WI and NWI—1 to 4), which are only provided by the passive sensor, showed the strongest relationships with the drought stress-related parameters (r = −0.49 to −0.86) and grain yield (r = −0.88) at anthesis. This paper indicates that precision phenotyping allows the integration of water indices in breeding programs to rapidly and cost-effectively identify drought-tolerant genotypes. This is supported by the fact that grain yield and the water indices showed the same heritability under drought conditions.

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Section: Discussionsupporting

confidence: 91%

Evaluation of Yield and Drought Using Active and Passive Spectral Sensing Systems at the Reproductive Stage in Wheat

Becker

Schmidhalter

2017

Front. Plant Sci.

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“…However, there is inconsistency in the relationship between CID and WUE when scaling up the relation from WUE l to the canopy level, namely, grain yield or WUE g . For example, positive relationships are reported in Condon et al (1987), Monneveux et al (2005), and Wang et al (2013Wang et al ( , 2016, whereas negative relationships are reported in Condon et al (2004). Condon et al (2004) and Foulkes et al (2016) show little agreement in their studies.…”

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confidence: 94%

“…Leaf-based studies are relatively convenient to conduct, as it is easy to readily collect leaf samples in the field and many studies use CID to investigate WUE (Zhao, 2004;Moghaddam et al, 2013;Wang et al, 2013Wang et al, , 2016Raimanová et al, 2016). Other studies explore the genetic controls on WUE and CID (Teulat et al, 2002;Rebetzke et al, 2008;Xu et al, 2009).…”

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confidence: 99%

“…Carbon isotope discrimination can be used to select cultivars with the desired WUE traits and also as a marker for breeding that can essentially improve the breeding process because it involves using the presence of a marker as a substitute to assist in phenotypic selection, in a way that may make it more efficient, effective, reliable, and cost effective than the conventional plant breeding methodology (Collard et al, 2005). For example, positive relationships are reported in Condon et al (1987), Monneveux et al (2005), and Wang et al (2013Wang et al ( , 2016, whereas negative relationships are reported in Condon et al (2004). For example, positive relationships are reported in Condon et al (1987), Monneveux et al (2005), and Wang et al (2013Wang et al ( , 2016, whereas negative relationships are reported in Condon et al (2004).…”

mentioning

confidence: 99%

“…where AE is the respired proportion of assimilated carbon, p a is the ambient partial pressure of CO 2 , n is the difference between intercellular and atmospheric water vapor pressure, b is the net fractionation caused by carboxylation and a is the fractionation occurring due to diffusion in air, 1.6 is the ratio of diffusivity of water vapor to CO 2 in air, and D 13 C plant is the CID. Leaf-based studies are relatively convenient to conduct, as it is easy to readily collect leaf samples in the field and many studies use CID to investigate WUE (Zhao, 2004;Moghaddam et al, 2013;Wang et al, 2013Wang et al, , 2016Raimanová et al, 2016). Other studies explore the genetic controls on WUE and CID (Teulat et al, 2002;Rebetzke et al, 2008;Xu et al, 2009).…”

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confidence: 99%

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Evaluating Leaf Wax and Bulk Leaf Carbon Isotope Surrogates for Water Use Efficiency and Grain Yield in Winter Wheat

et al. 2019

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Bulk leaf carbon isotopic composition (δ13Cbulk) has been widely used to investigate leaf level water use efficiency (WUEl) in efforts to boost grain yield relative to crop water use. Although widely used for isotopic analyses, the bulk leaf represents a complex mixture of compounds. Single‐compound isotopic analyses carry diagnostic advantages over bulk analyses in a range of applications and may also serve as surrogates for WUEl and grain yield in crops. This study tests whether compound‐specific carbon and hydrogen isotopes of leaf wax n‐alkanes (δ13Calk and δDalk) and n‐alcohols (δ13Calc) could be used as surrogates for WUEl and grain yield using conventional δ13Cbulk as a reference. Ten winter wheat (Triticum aestivum L.) cultivars were planted under two irrigation treatments (full and deficit irrigation) at Uvalde (wet location) and Amarillo (dry location), TX, during two growing seasons. There were significant relationships between δ13Calk or δDalk and δ13Cbulk, indicating they can all serve as surrogates for WUEl in most cases. Compared with δ13Cbulk, we found stronger relationships between δ13Calk at Uvalde or δDalk under deficit irrigation at Amarillo and grain yield. The δ13Calk also had higher broad‐sense heritability than δ13Cbulk, indicating larger cultivar effects in δ13Calk than in δ13Cbulk. In contrast, the δ13Calc was not consistently related with δ13Cbulk or grain yield. Our study introduces the idea that δ13Calk and δDalk may supplement conventional δ13Cbulk with potential to assist in the breeding process when selecting for high‐WUE and high‐yielding cultivars.

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Carbon isotope discrimination association with yield and test weight in Pacific Northwest–adapted spring and winter wheat

Shrestha

Garland‐Campbell

Steber

et al. 2020

Agrosystems Geosci & Env

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Due to considerable influence of environment on yield, breeding for drought tolerance could benefit from focusing on selection of more heritable physiological traits, such as carbon isotope discrimination (as measured by delta, ∆) for indirectly assessing water use efficiency (WUE) of wheat (Triticum aestivum L.). Spring and winter wheat cultivars were assayed for ∆, and these values were used to determine the relationships with performance in over 13 environments in the U.S. Pacific Northwest. The correlation coefficients of ∆ values between the wheat cultivars grown in different environments ranged from 0.11 to 0.73 for both spring and winter wheat. There was significant genotypic variation for ∆ in soft spring and hard winter wheat but not in hard spring and soft winter wheat. The ∆ values were poor indicators of yield for this set of wheat cultivars in most environments, although low values (better WUE) were sometimes correlated with yield. A population of 165 hard spring wheat recombinant inbred lines derived from a cross between two hard spring wheat varieties that differed in ∆ was also screened in low‐rainfall dryland and irrigated environments. High yields in this recombinant inbred population were weakly correlated with high ∆ values or low WUE in most environments.

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Soil Water Regime Affecting Correlation of Carbon Isotope Discrimination with Yield and Water‐Use Efficiency of Winter Wheat

Cited by 15 publications

References 32 publications

Evaluation of Yield and Drought Using Active and Passive Spectral Sensing Systems at the Reproductive Stage in Wheat

Evaluation of Yield and Drought Using Active and Passive Spectral Sensing Systems at the Reproductive Stage in Wheat

Evaluating Leaf Wax and Bulk Leaf Carbon Isotope Surrogates for Water Use Efficiency and Grain Yield in Winter Wheat

Carbon isotope discrimination association with yield and test weight in Pacific Northwest–adapted spring and winter wheat

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