Genetic gains in grain yield and physiological traits of winter wheat in Hebei Province of China, from 1964 to 2007

Knowledge of the changes in physiological traits associated with genetic gains in yield potential is essential to improve understanding of yield-limiting factors and to inform future breeding strategies. Recent advances in genetic yield potential and associated physiological changes in wheat (Triticum aestivum L.) are reviewed. Genetic gains in yield potential worldwide have been both positively correlated with harvest index (HI) and above-ground dry matter (AGDM), with more frequent reports of yield progress associated with biomass since about 1990. It is concluded that an important aim of future breeding will be the increase of biomass production while maintaining the present values of HI. In winter wheat recent biomass progress has been positively associated with pre-anthesis radiation-use efficiency (RUE) and water-soluble carbohydrate (WSC) content of stems at anthesis. Present results in two doubled-haploid (DH) populations show a positive linear relationship between stem WSC and grain yield in the UK environment. Results from various investigations worldwide in recent years have demonstrated that biomass increases have been associated with particular introductions of alien genes into wheat germplasm, e.g. the 1BL.1RS wheat-rye translocation and the 7DL.7Ag wheat-Agropyron elongatum translocation. Present results confirm a positive effect of 1BL.1RS on harvest biomass in two DH populations in the UK. The future prospects for identifying physiological traits to raise yield potential are considered with particular reference to winter wheat grown in northwestern Europe. It is proposed that optimized rooting traits, an extended stem-elongation phase, greater RUE, greater stem WSC storage and optimized ear morphology will be important for breeding progress in yield potential in future years.

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Using UAV-based hyperspectral imaging and functional regression to assist in predicting grain yield and related traits in wheat under heat-related stress environments for the purpose of stable yielding genotypes

Precision Agriculture ◽

10.1007/s11119-021-09852-5 ◽

2021 ◽

Author(s):

Lucas Costa ◽

Jordan McBreen ◽

Yiannis Ampatzidis ◽

Jia Guo ◽

Mostafa Reisi Gahrooei ◽

...

Keyword(s):

Heat Stress ◽

Grain Yield ◽

Hyperspectral Imaging ◽

Complex Traits ◽

Small Sample ◽

Data Availability ◽

Physiological Traits ◽

Functional Regression ◽

Yield Prediction ◽

Genetic Gains

AbstractQuantifying certain physiological traits under heat-stress is crucial for maximizing genetic gain for wheat yield and yield-related components. In-season estimation of different physiological traits related to heat stress tolerance can ensure the finding of germplasm, which could help in making effective genetic gains in yield. However, estimation of those complex traits is time- and labor-intensive. Unmanned aerial vehicle (UAV) based hyperspectral imaging could be a powerful tool to estimate indirectly in-season genetic variation for different complex physiological traits in plant breeding that could improve genetic gains for different important economic traits, like grain yield. This study aims to predict in-season genetic variations for cellular membrane thermostability (CMT), yield and yield related traits based on spectral data collected from UAVs; particularly, in cases where there is a small sample size to collect data from and a large range of features collected per sample. In these cases, traditional methods of yield-prediction modeling become less robust. To handle this, a functional regression approach was employed that addresses limitations of previous techniques to create a model for predicting CMT, grain yield and other traits in wheat under heat stress environmental conditions and when data availability is constrained. The results preliminarily indicate that the overall models of each trait studied presented a good accuracy compared to their data’s standard deviation. The yield prediction model presented an average error of 13.42%, showing the function-on-function algorithm chosen for the model as reliable for small datasets with high dimensionality.

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Effect of terminal drought on yield and some physiological traits of winter wheat

Genetika ◽

10.2298/gensr1802747h ◽

2018 ◽

Vol 50 (2) ◽

pp. 747-753 ◽

Cited By ~ 1

Author(s):

Ivanka Habus-Jercic ◽

Marijana Baric ◽

Snjezana Keresa ◽

Anita Bosnjak-Mihovilovic ◽

Milan Poljak ◽

...

Keyword(s):

Winter Wheat ◽

Grain Yield ◽

Yield Components ◽

Grain Filling ◽

Grain Weight ◽

Physiological Traits ◽

Stay Green ◽

Terminal Drought ◽

Filling Phase ◽

Green Strategy

Terminal drought i.e. drought during grain-filling phase is the most devastating environmental stress to wheat production. In present study the effect of terminal drought on physiological traits and its influence on yield and yield components in two winter wheat varieties (Kuna and Karla) were investigated. Terminal drought stress was applied from the beginning of anthesis by installing mobile plastic roof above the crops. Leaf gas exchange parameters, chlorophyll content index (CCI), relative water content (RWC), and nitrogen (N) content were measured three times during grain-filling phase, at early milk maturity (EMM), late milk maturity (LMM), and at early wax maturity (EWM). Grain yield and 1000 grain weight were measured by harvesting of each plot at crop maturity. Terminal drought enhanced leaf senescence and caused reduction of RWC, CCI, net photosynthetic rate (A), stomatal conductance (gs), and transpiration rate (E) as well as, grain yield and all measured yield components. However, grain yield and grain weight per ear were less affected in Karla indicating enhanced tolerance to terminal drought compared to Kuna variety. Higher tolerance to terminal drought in Karla is based on stay-green strategy. Stay-green strategy in Karla was characterized by retention of CCI at early wax maturity, which contributed to higher E and lower intercellular CO2 concentration compared to Kuna under terminal drought. Stay-green strategy as trait that enhanced terminal drought tolerance in Karla should be used in breeding programs and utilized to ensure maximum economic yields under terminal drought conditions.

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Genetic gains for physiological traits associated with yield in soft red winter wheat in the Eastern United States from 1919 to 2009

European Journal of Agronomy ◽

10.1016/j.eja.2016.11.008 ◽

2017 ◽

Vol 84 ◽

pp. 76-83 ◽

Cited By ~ 11

Author(s):

Maria Balota ◽

A.J. Green ◽

C.A. Griffey ◽

R. Pitman ◽

W. Thomason

Keyword(s):

United States ◽

Winter Wheat ◽

Physiological Traits ◽

Eastern United States ◽

Genetic Gains ◽

Soft Red Winter Wheat ◽

Red Winter Wheat

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OPTIMIZED TIMING OF USING CANOPY TEMPERATURE TO SELECT HIGH-YIELDING CULTIVARS OF WINTER WHEAT UNDER DIFFERENT WATER REGIMES

Experimental Agriculture ◽

10.1017/s0014479716000235 ◽

2016 ◽

Vol 54 (2) ◽

pp. 257-272 ◽

Cited By ~ 2

Author(s):

XIAOYU ZHANG ◽

XIYING ZHANG ◽

SUYING CHEN ◽

HONGYONG SUN ◽

LIWEI SHAO ◽

...

Keyword(s):

Winter Wheat ◽

Grain Yield ◽

Crop Production ◽

Field Experiments ◽

Potential Evapotranspiration ◽

Canopy Temperature ◽

Grain Filling ◽

Physiological Traits ◽

Growth Stages ◽

Water Regimes

SUMMARYSelecting high-yielding cultivars under drought is an important practice to improve crop production. Canopy temperature (T) shows a relative reliable association with grain yield. In this study, we compared the suitability of canopy T and other agronomic as well as physiological traits associated with grain yield under different water regimes. Field experiments over two seasons (2011–2012 and 2012–2013) were carried out under three water regimes, represented about 64, 76 and 89% of potential evapotranspiration, with 16 local winter wheat (Triticum aestivum L.) cultivars in each season. Results showed that cultivars with higher yield usually performed consistently lower canopy T under three water regimes, while the relationships of grain yield with other agronomic or physiological traits were more influenced by soil moisture. In addition, the relationship between canopy T and grain yield varied with different growth stages: From the time of heading to early grain filling stages, a more significant negative linear relationship (p < 0.001) existed under the three irrigation levels.

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