How Early Can the Seeding Dates of Spring Wheat Be under Current and Future Climate in Saskatchewan, Canada?

He, Yong; Wang, Hong; Qian, Budong; McConkey, B.G.; DePauw, R. M.

doi:10.1371/journal.pone.0045153

Cited by 29 publications

(36 citation statements)

References 39 publications

(55 reference statements)

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“…These differences may have been caused by differences in ploidy level, length of domestication history [20], or constitutive differences in resources allocation [12,13]. Resource constraints that were imposed on both wheat genotypes for six years triggered similar reaction trajectories, but with largely different magnitudes as demonstrated by other studies [16,17]. Of interest to wheat scientists are traits with narrow (e.g., spike fertility index) or wide range (e.g., biomass) of PPs that can be used as indicators of the buffering capacity of a crop under abiotic stress.…”

Section: Inter-and Intraspecific Variation In Ppsmentioning

confidence: 64%

“…Sowing date is an important decision for spring wheat production in northern latitudes due to its greater effect than population density on plant ontogeny and grain yield [17]. However, contrary to an earlier report [64], late sowing date at different population densities (i.e., SN and SH) triggered changes in plasticity of fertile tillers and grain yield.…”

Section: Abiotic Stress Treatmentsmentioning

confidence: 73%

“…Shorter than normal-growing seasons, in addition to water stress close to maturity, are the main factors that presumably limit grain yield potential of spring wheat [17]. Delayed sowing, singly (SN treatment), or in combination with variable population density (SH treatment), explained almost similar variances (Q 2 Y; Table 7), indicating that a short growing season may have stronger effect on PPs than a larger population density; the first deprives the crop from benefiting from available resources, while the effect of the second can be ameliorated by the tiller buffering capacity.…”

Section: Abiotic Stress Treatmentsmentioning

confidence: 99%

“…Delayed sowing, singly (SN treatment), or in combination with variable population density (SH treatment), explained almost similar variances (Q 2 Y; Table 7), indicating that a short growing season may have stronger effect on PPs than a larger population density; the first deprives the crop from benefiting from available resources, while the effect of the second can be ameliorated by the tiller buffering capacity. Nevertheless, delayed sowing is a practical method for specific and genotypic comparisons under increasing abiotic stresses, as it may affect the developmental patterns and shift the timing and duration of critical growth stages [17,60]. Percent correct classification of SN and SH were 55% and 26%, respectively, for T. durum, and 28% and 39%, respectively, for T. aestivum.…”

Section: Abiotic Stress Treatmentsmentioning

confidence: 99%

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Statistical Modeling of Phenotypic Plasticity under Abiotic Stress in Triticum durum L. and Triticum aestivum L. Genotypes

Jaradat

2018

Agronomy

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Future challenges to the role of durum and bread wheat in global food security will be shaped by their potential to produce larger yields and better nutritional quality, while increasingly adapting to multiple biotic and abiotic stresses in the view of global climate change. There is a dearth of information on comparative assessment of phenotypic plasticity in both wheat species under long-term multiple abiotic stresses. Phenotypic plasticities of two durum and bread wheat genotypes were assessed under increasing abiotic and edaphic stresses for six years. Combinations of normal and reduced length of growing season and population density, with or without rotation, generated increasing levels of competition for resources and impacted phenotypic plasticity of several plant and yield attributes, including protein and micronutrients contents. All the phenotypic plasticity (PPs) estimates, except for the C:N ratio in both genotypes and grain protein content in T. aestivum genotype, were impacted by abiotic stresses during the second stress phase (PS II) compared with the first (PS I); whereas, covariate effects were limited to a few PPs (e.g., biomass, population density, fertile tillers, grain yield, and grain protein content). Discrimination between factor levels decreased from abiotic phases > growth stages > stress treatments and provided selection criteria of trait combinations that can be positively resilient under abiotic stress (e.g., spike harvest and fertility indices combined with biomass and grain yield in both genotypes). Validation and confirmatory factor models and multiway cluster analyses revealed major differences in phenotypic plasticities between wheat genotypes that can be attributed to differences in ploidy level, length of domestication history, or constitutive differences in resources allocation. Discriminant analyses helped to identify genotypic differences or similarities in the level of trait decoupling in relation to the strength of their correlation and heritability estimates. This information is useful in targeted improvement of traits directly contributing to micronutrient densities, yield components, and yield. New wheat ideotype(s) can be designed for larger grain yield potential under abiotic stress by manipulating yield components that affect kernels m −2 (e.g., number of tillers, number of florets per spikelet, and eventually spike fertility and harvest indices) without impacting nutrient densities and kernel weight, thus raising harvest index beyond its current maximum.

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Section: Inter-and Intraspecific Variation In Ppsmentioning

confidence: 64%

Section: Abiotic Stress Treatmentsmentioning

confidence: 73%

Section: Abiotic Stress Treatmentsmentioning

confidence: 99%

Section: Abiotic Stress Treatmentsmentioning

confidence: 99%

See 2 more Smart Citations

Statistical Modeling of Phenotypic Plasticity under Abiotic Stress in Triticum durum L. and Triticum aestivum L. Genotypes

Jaradat

2018

Agronomy

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“…Reduced yields resulting from delayed planting are associated with reductions in tiller number, shorter grain filling periods (Lanning et al 2012), and increased occurrence of heat stress and drought stress during key phenological stages (He et al 2012). Crop management techniques that enable earlier planting could impact yield and other agronomic traits.…”

Section: Introductionmentioning

confidence: 99%

Frost seeding increases spring cereal yield

et al. 2017

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Short growing season and mid-summer heat and drought are limiting factors for spring cereal production in Canada, suggesting that higher and more stable yields may be possible if the seeding date occurred earlier in the spring. Field trials were conducted in southern Ontario in 2003 and2004 to compare development and yield potential of frost (early April) and conventional (late April-early May) seeded hard red spring wheat (Triticum aestivum L.), spring barley (Hordeum vulgare L.), and oat (Avena sativa L.) established using commercially available no-till planting equipment. Frost seeding had lower plant populations than conventional seeding, with pre-tillering plant population reductions for frost seeding averaging 44 plants m −2 (12%) for wheat and 27 plants m −2 (10%) for oats. In spite of lower plant population, frost seeding yields were higher than conventional seeding, with yield increases averaging 0.66 Mg ha −1 (24%) for wheat, 0.72 Mg ha −1 (20%) for oats, and 0.36 Mg ha −1 (11%, 2004 only) for barley. Frost seeded cereals had earlier occurrence of key phenological stages with average heading dates for frost seeded wheat and barley occurring 5 d earlier. Frost seeded cereals also had a longer vegetative period, which, along with earlier heading dates, contributed to increased yields for frost seeded cereals.Key words: spring wheat, spring barley, oat, frost seeding, planting date.Résumé : La brièveté de la période végétative ainsi que la chaleur et la sécheresse qui sévissent au milieu de l'été nuisent à la culture des céréales de printemps, au Canada. On présume que le rendement serait plus élevé et plus stable si les semis avaient lieu plus tôt au printemps. Mots-clés : blé de printemps, orge de printemps, avoine, semis en sol gelé, date des semis.

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Learning to balance wheat G × E × M interactions in response to a changing climate—The case for ultra‐early planting systems

Collier,

Spaner,

Beres

2024

Agronomy Journal

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Reported global reductions in cereal grain yields due to increased global average temperature combined with increasing global populations peaking near 2050 create an immediate need to increase cereal grain yield potential and reduce the yield gap between realized on‐farm grain yield and potential yield. The development of an ultra‐early planting system for spring wheat (Triticum aestivum L.) on the northern Great Plains can increase the resiliency of current growing systems to a changing climate. This was achieved through the development of a unique set of practices designed to successfully shift current wheat production systems to ultra‐early growing systems. Ultra‐early planted wheat growing systems on the northern Great Plains will provide immediate benefits to the adopting producer in the form of increased grain yield and increased grain yield stability relative to current practices. As global average temperatures warm, and atmospheric CO2 concentrations increase, the northern Great Plains region is in a unique position to potentially realize grain yield increases rather than temperature driven grain yield decreases. Shifting planting earlier and taking advantage of increased growing degree day accumulation and water use efficiencies while avoiding higher temperatures during sensitive physiological periods are tactics implemented in ultra‐early growing systems that will increase in importance and relevance in the next three decades as average daily temperatures increase.This article is protected by copyright. All rights reserved

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How Early Can the Seeding Dates of Spring Wheat Be under Current and Future Climate in Saskatchewan, Canada?

Cited by 29 publications

References 39 publications

Statistical Modeling of Phenotypic Plasticity under Abiotic Stress in Triticum durum L. and Triticum aestivum L. Genotypes

Statistical Modeling of Phenotypic Plasticity under Abiotic Stress in Triticum durum L. and Triticum aestivum L. Genotypes

Frost seeding increases spring cereal yield

Learning to balance wheat G × E × M interactions in response to a changing climate—The case for ultra‐early planting systems

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