Performance of soft red winter wheat subjected to field soil waterlogging: Grain yield and yield components

Arguello, Maria N.; Mason, Richard E.; Roberts, Trenton L.; Subramanian, Nithya; Acuña, Andrea; Addison, Christopher K.; Lozada, Dennis N.; Miller, R. G.; Gbur, Edward E.

doi:10.1016/j.fcr.2016.04.040

Cited by 58 publications

(42 citation statements)

References 31 publications

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“…Phenotypic datasets for association mapping included BLUP trait values across geographic regions (Asia, Africa, North America, and by individual countries) and by growing season (2010 and 2011) and BLUE calculated for each individual environment (see Supplemental Table S2 for the complete description of the datasets used for GWAS). A P value of < 0.001 was used as the threshold for defining significant SNP as the measured traits have generally low to moderate heritability (Arguello et al, 2016; Mwadzingeni et al, 2017) and due to the observed deviations on the quantile‐quantile plots. Polymorphic SNPs for the winter wheat loci were separated according to allele calls, and the mean GY for these were compared using t test at P < 0.05.…”

Section: Methodsmentioning

confidence: 99%

Validation of Grain Yield QTLs from Soft Winter Wheat Using a CIMMYT Spring Wheat Panel

Lozada¹,

Mason²,

Sukumaran

et al. 2018

Crop Science

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Validation of quantitative trait loci (QTLs) is an essential step in marker‐assisted breeding. The objectives of this study were to validate grain yield (GY) QTLs previously identified in soft red winter wheat (Triticum aestivum L.) through biparental and association mapping using the spring wheat association mapping initiative (WAMI) panel from CIMMYT, Mexico, and to identify allele combinations of the validated QTLs that resulted to the highest GY. Linked single‐nucleotide polymorphisms for IWA3560 (3A), IWA1818 (4B), and IWA755 (6B) were significantly associated (P < 0.001) with GY, grain number, and thousand‐grain weight in the WAMI. Lines possessing the favorable allele for the QTL at the 3A, 4B, and 6B loci (ACG allele combination) validated on the WAMI had the highest mean GY at 4.55 t ha−1, but three other haplotypes (ACA, GCA, and GCG) differing by one or two alleles in the validated QTL regions were not significantly different. These results validate GY QTLs across winter and spring wheat through genome‐wide association analysis and further demonstrate the potential for pyramiding favorable alleles for the genetic improvement of wheat breeding populations.

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Section: Methodsmentioning

confidence: 99%

Validation of Grain Yield QTLs from Soft Winter Wheat Using a CIMMYT Spring Wheat Panel

Lozada¹,

Mason²,

Sukumaran

et al. 2018

Crop Science

Self Cite

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“…A few studies have focused on the interaction of variety × the growth stage for waterlogging but did not find a significant effect [19,35]. However, many reports show different levels of waterlogging tolerance exist among varieties grown in the same region [5,10,37]. It is believed this may be due to the differences in yield components determining grain yield [21,22].…”

Section: Discussionmentioning

confidence: 99%

“…Waterlogging influences wheat yield by multiple mechanisms, including phenology, morphology, anatomy, nutrition, and metabolism [2]. Most literature has reported that waterlogging significantly decreases grain yield due to an inhibition of photosynthesis, respiration, and transpiration, resulting in an accumulation and remobilization of assimilate in vegetative organs and yield components [4][5][6][7][8][9]. However, these responses have varied among wheat varieties, growing environments, and crop management [2,[10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Identifying the Critical Stage Near Anthesis for Waterlogging on Wheat Yield and Its Components in the Yangtze River Basin, China

Ding

Peng

et al. 2020

Agronomy

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Frequent waterlogging near anthesis is a primary constraint for wheat production in the Yangtze River Basin, China. This study aimed to identify the critical stage for waterlogging on wheat yield and its components and identify the possible factors determining this stage. In the first experiment (E1), we evaluated three varieties and initiated a 10-day waterlogging starting at the stem elongation (S1), booting (S2), and anthesis (S3) stages. In the second experiment (E2), waterlogging was applied at the stem elongation (S1) and anthesis (S3) stages and for three durations (five, 10, and 15 days). In E1, waterlogging at S1 and S2 resulted in a lower grain yield than at S3. In the second year of E1, grain yield under waterlogging at S1 and S3 was similar but significantly lower than under waterlogging conditions at S2. Waterlogging at S1 and S2 greatly decreased the kernel number per spike and 1000-kernel weight, but waterlogging at S3 only decreased the 1000-kernel weight. Moreover, different varieties did not change the stages mostly reducing grain yield and yield components. In E2, grain yield decreased with prolonged exposure to waterlogging and was significantly lower under 15-day conditions than the five-day conditions. There was no significant interaction between the stage and duration of waterlogging. Finally, our results indicate that in yield formation, a greater reliance on kernel weight instead of the kernel number per spike can contribute to a reduction in yield loss for waterlogging at S1 and S2. This study, therefore, indicates that the stem elongation stage is the most affected by waterlogging.

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“…More than 10% of the global land area is affected by waterlogging, which is one of the major abiotic factors limiting wheat production, particularly in the rice-wheat rotation regions of South and Southeast Asia, such as the MLYR of China (Arguello et al, 2016;Wu et al, 2018). In this experiment, the early-booting stage (Zadoks 41) of wheat occurred at 25 March 2012 and 29 March 2013 (Table 1), up to 376.4 mm of rainfall was accumulated from March to May both in 2012-2013 years (Fig.…”

Section: Relationship Between Waterlogging and Grain Yield Componentsmentioning

confidence: 99%

Spraying 6-BA could alleviate the harmful impacts of waterlogging on dry matter accumulation and grain yield of wheat

Wang

Liu

Wei

et al. 2020

PeerJ

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Background The middle and lower reaches of the Yangtze River plain produce the second highest amount of wheat in China; however, waterlogging is an important environmental factor that substantially affects the yield production of wheat (Triticum aestivum L.) in this region. Methods In this study, seven treatments were implemented, including no waterlogging and exogenous 6-benzylaminopurine (6-BA) as a control (CK); waterlogging at booting (BW), anthesis (AW) and 15 days after anthesis (DAA, FW); and spraying 6-BA before waterlogging at booting (BW-6BA), anthesis (AW-6BA) and 15 DAA (FW-6BA), to determine the ability of 6-BA to alleviate the harmful impact of waterlogging on aboveground biomass production and grain yield. The widely cultivated wheat cultivar “Zhengmai 9023” was used. Results The results showed that more than 190.0 mm of rainfall, which accounted for approximately 45.0% of the precipitation over the whole wheat growing season, was distributed after the booting stage (April and May). In all waterlogged treatments, the photosynthetic rate, aboveground biomass and grain yield decreased, but the differences between the CK and the FW treatment were not significant. The grain yield decreased by 18.38%, 41.79% and 5.67% in the BW, AW and FW treatments, respectively. Spraying 6-BA before waterlogging enhanced the root activities after anthesis and then decreased the malondialdehyde concentrations of the flag leaves and the third leaf, increased the photosynthetic rate of the flag leaves and enhanced aboveground biomass and grain yield. Among the increments between the treatments, the increments between the BW and BW-6BA treatments were the largest, but between the FW and FW-6BA were smallest. In comparison to the other waterlogging treatments, the grain yields from the FW and FW-6BA treatments were significantly higher because of the higher kernel numbers per spike. The results indicated that waterlogging after the booting stage restrained the dry matter production of winter wheat, but spraying 6-BA before waterlogging slowed the plant senescence rate and reduced grain yield loss.

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Performance of soft red winter wheat subjected to field soil waterlogging: Grain yield and yield components

Cited by 58 publications

References 31 publications

Validation of Grain Yield QTLs from Soft Winter Wheat Using a CIMMYT Spring Wheat Panel

Validation of Grain Yield QTLs from Soft Winter Wheat Using a CIMMYT Spring Wheat Panel

Identifying the Critical Stage Near Anthesis for Waterlogging on Wheat Yield and Its Components in the Yangtze River Basin, China

Spraying 6-BA could alleviate the harmful impacts of waterlogging on dry matter accumulation and grain yield of wheat

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