Phenotypic plasticity of grain and hay quality in varieties and advanced lines from the Australian oat breeding program

Sadras, Víctor O.; Mahadevan, M.; Williams, Michelle M.; Hoppo, S. D.; Zwer, P. K.

doi:10.1016/j.eja.2018.10.001

Cited by 11 publications

(6 citation statements)

References 49 publications

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“…While these relationships are statistically sound and biologically meaningful, they imply correlation and not necessarily causation as they include underlying confounding effects (Bonada & Sadras, 2015), as suggested by Sadras et al. (2019). The significant associations between grain yield and weather variables during the critical period are supported by existing literature, such as the positive associations of yield with precipitation (Lollato et al., 2017) and duration (Cossani & Sadras, 2021) and the negative associations with Tmean (Cossani & Sadras, 2021).…”

Section: Discussionmentioning

confidence: 97%

Intensive management simultaneously reduces yield gaps and improves milling and baking properties of bread wheat

et al. 2023

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Genotype (G), environment (E), management (M), and their interactions determine grain yield, biochemical composition, and quality of wheat. However, we are not aware of studies evaluating whether intensive management can simultaneously reduce yield gaps and improve wheat milling and baking attributes, which were our main objectives. A factorial experiment of five genotypes × four management intensities (farmer practice, high-input, high-input minus nitrogen, and high-input minus fungicide) was conducted in six Kansas (United States) environments resulting from the combination of four locations and three seasons. Grain yield and 13 parameters characterizing the grain (test weight [TWT], thousand kernel weight [TKW], grain protein [GP]), flour (e.g., ash, protein), dough (e.g., water absorption [WA],dough stability [DS]), and baking qualities (loaf volume [LV]) were measured. For most variables, the primary contributor of the variance was E while M and G were secondary and tertiary contributors, except for LV in which G was a larger moderator. High input practices increased yield (4206 kg ha −1 ) compared to farmer practice (3347 kg ha −1 ) suggesting a yield gap of 859 kg ha −1 . Management intensities receiving foliar fungicides improved grain properties related to milling characteristics (i.e., TKW and TWT), while management intensities receiving more nitrogen improved baking characteristics (e.g., WA and DS). Across sources of variation, yield response to improved management associated positively with the responses of TKW, TWT, and in some cases, GP, and WA. Our results showed the possibility of simultaneously improving grain yield and selected milling and baking attributes of bread wheat genotypes through intensive management.Abbreviations: DDT, dough development time (min); DS, dough stability (min); FA, flour ash (%); FNV, falling number (s); FST, farinograph stability (min); FY, flour yield (%); G, genotype; GP, grain protein (%); GY, grain yield (kg ha −1 ); HWW, hard winter wheat; LV, loaf volume (mL); MTI, mixing tolerance index (BU); TKW, thousand kernel weight (g); TWT, test weight (kg hl −1 ); WA, water absorption.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Discussionmentioning

confidence: 97%

Intensive management simultaneously reduces yield gaps and improves milling and baking properties of bread wheat

et al. 2023

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“…Differences in genotypes are often masked by environmental effects and genotype by environmental interactions (Chenu, 2015). However, plasticity in responses, which accounts for some environmental influences, can be a target for breeding programs (Bradshaw, 1965; Sadras et al, 2013, 2016, 2019). The lower plasticity for biomass accumulation observed at Clovis suggests inclusion of supplemental irrigation provided a more stable environment, which will allow for the identification of superior genotypes.…”

Section: Discussionmentioning

confidence: 99%

“…Proc univariate routines were used to determine the overall standard deviation for each trait and the standard deviation for each trait for a specific market type and season length. The standard deviations were used to calculate a coefficient of relative plasticity for each trait (Kumar et al, 2022; Sadras et al, 2013, 2019).

Plasticity goodbreak= \frac{standard deviation of market type and season length}{standard deviation of all market types and season lengths} .

…”

Section: Methodsmentioning

confidence: 99%

Forage accumulation and nutritive value of four peanut (Arachis hypogaea L.) market types in the US Southern Great Plains

et al. 2023

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Dual use crops are becoming popular as resources like land and water become scarcer. Annual peanuts are an important food crop grown worldwide that can also be used as forage or hay. Replicated trials evaluated the late season (≥15 weeks after planting) forage accumulations and nutritive values (acid detergent fiber, carbon content, crude protein, invitro true digestibility, neutral detergent fiber, nitrogen content, and relative feed value) of four market types near Clovis, NM and El Reno, OK in 2019 and 2020. Statistical analyses (p ≤ .05) showed all traits were affected by the interaction between market type and growing environment. Overall, forage accumulations for all market types ranged from 2.7 to 6.5 Mg ha−1 with relative feed values of 107–155. The location average across sites was 4.45 Mg ha−1 with relative feed value of 132. The Virginia market types produced large amounts of biomass. However, the Valencia market type generated the greatest nutritive values. This study indicates harvesting late‐season biomass of peanuts for hay may be an option that allows producers to generate more income from limited land and water resources. However, both market type and environmental factors, such as rainfall/irrigation, play important roles in production and forage nutritive values of peanut forage.

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“…Oat (Avena sativa L.) is the most cropped cereal and fodder crop in the word, and it is ranked sixth after wheat, maize, rice, barley and sorghum, and mainly cultivated as a major spring crop in arid and semiarid regions of the world, such as Northern Europe, North America, Australia, Canada and China (Antonia et al, 2011;Boczkowska et al, 2013;Marshall et al, 2013;Yang et al, 2023). It is a major food source for human consumption, livestock feed providing valuable nutrients, and has usually been considered to be an excellent forage due to its high-forage yield, high nutritional value, lower neutral washing ber content and good palatability (Havrlentova et al, 2013;Kumar et al, 2017;Sadras et al, 2019). Furthermore, oat has an excellent growth habit, strong abiotic stress resistance and lower summer heat requirements or input than other cereal crops (Havrlentova et al, 2013;Allwood et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Impact of bacterial leaf blight disease ( Pantoea agglomerans ) on forage yield and feeding value of oat

Wang,

Zhang,

Chen

et al. 2023

Preprint

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From 2018 to 2019, bacterial leaf blight disease (LBD) caused by Pantoea agglomerans was observed on the leaves of oat (Avena sativa L.) in Northwest China, and diseased oat often showed yellow-colored necrotic symptoms on the leaves. This is a new bacterial disease of oat in China. In this study, greenhouse experiments were conducted to explore the effect of LBD (P. agglomerans) on forage yield and feeding value of Avena sativa [Baiyan 2 (B2)] and A. nuda [Baiyan 7 (B7)]. The results revealed that effective tillers, plant height, flag-leaf length, flag-leaf width, fresh weight, dry weight, fresh-dry ratio, crude ash, crude protein, ether extract, soluble carbohydrate, calcium, phosphorus, digestible dry matter, dry matter intake and relative feed value of B2 and B7 were all significantly (P < 0.05) decreased by LBD. Hay yield of oat was reduced 1.38 to 23.48%, and relative feed value was decreased 1.01 to 26.24% by LBD. In contrast, crude fiber, acid detergent fiber, neutral detergent fiber and nitrogen free extract of B2 and B7 were significantly (P < 0.05) increased after inoculation of P. agglomerans. Moreover, B7 had a higher forage yield and relative feed value than B2 under inoculation and non-inoculation of P. agglomerans. LBD (P. agglomerans) has negative influences on growth, forage yield and feeding value of oat, and these negative effects are enhanced with increase of LBD severity.

show abstract

Phenotypic plasticity of grain and hay quality in varieties and advanced lines from the Australian oat breeding program

Cited by 11 publications

References 49 publications

Intensive management simultaneously reduces yield gaps and improves milling and baking properties of bread wheat

Intensive management simultaneously reduces yield gaps and improves milling and baking properties of bread wheat

Forage accumulation and nutritive value of four peanut (Arachis hypogaea L.) market types in the US Southern Great Plains

Impact of bacterial leaf blight disease ( Pantoea agglomerans ) on forage yield and feeding value of oat

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