Meteorological limits to winter wheat productivity in the U.S. southern Great Plains

Lollato, Romulo P.; Edwards, Jeffrey T.; Ochsner, Tyson

doi:10.1016/j.fcr.2016.12.014

Cited by 100 publications

(83 citation statements)

References 48 publications

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“…() in a combination of alternate‐furrow irrigation and deficit irrigation experiments under Chinese conditions. Lollato and Edwards () reported the maximum WUE values of wheat in the Southern Great Plains ranged from 0.78–1.26 kg m −3 , which was well‐below maximum values derived from boundary functions analysis between seasonal water supply and grain yield, which was generally around 1.6–2.2 kg mm –3 (Lollato, Edwards, & Ochsner, ). Water use efficiency has been substantially improved with the release of the high‐yielding, semi‐dwarf varieties.…”

Section: Discussionmentioning

confidence: 90%

Limited irrigation influence on rotation yield, water use, and wheat traits

et al. 2020

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Selecting more water‐efficient wheat (Triticum aestivum L.) varieties that are suited to no seasonal irrigation is an important way to improve water use efficiency (WUE) in the North China Plain (NCP). The goal of this study was to assess the yield and WUE of wheat, maize (Zea mays L.), and rotation, and to determine the traits of high‐WUE wheat varieties and clarify the mechanism for increasing WUE. Experiments were conducted during the 2012–2016 seasons using 10 common winter wheat varieties under no seasonal irrigation (W0) or two irrigation events (W2, irrigation at jointing and anthesis). No seasonal irrigation treatment decreased wheat and rotation yield, and improved maize yield and WUE of maize and rotation. No seasonal irrigation treatment decreased 150‐mm irrigation amount, reduced soil water content in 0–2‐m soil depth at wheat maturity and 1–2‐m depth after maize harvest, and extended the maize grain filling stage. Compared with the wheat genotype with the lowest WUE (‘Nongda 211’), under W0 condition, the genotype with the highest WUE, ‘Nongda 5133,’ could improve rotation yield and WUE by 10.7 and 10.9%, respectively. The WUE of wheat had a strong positive association with yield across the genotypes. High‐WUE varieties had a higher leaf area index at anthesis and higher late‐season photosynthesis rate and/or delayed canopy senescence under W0. This study indicated that W0 in wheat growing season could improve maize yield, narrow the rotation yield gap with W2 treatment, and improve wheat and rotation WUE by combining with high‐WUE wheat varieties.

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Section: Discussionmentioning

confidence: 90%

Limited irrigation influence on rotation yield, water use, and wheat traits

et al. 2020

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“…After defining relevant weather parameters for these four developmental phases, we evaluated the effects of weather on wheat Y a using two different approaches. For more details on crop modeling approach or geographic distribution of the 30 weather stations, please refer to Lollato et al (2017). Then, we developed conditional inference trees for grain yield as affected by weather (Hothorn et al, 2006a).…”

Section: Weather Effects On Wheat Grain Yieldmentioning

confidence: 99%

“…Although yield contest data have previously been explored for yield-management relationships (Long et al, 2017), these observations may be questionable (Sinclair and Cassman, 2004). Thus, we compared the relationship between grain yield and crop evapotranspiration (ET c ) simulated for each field-year with previously reported boundary functions for wheat water productivity (French and Schultz, 1984;Zwart and Bastiaanssen, 2004;Sadras and Angus, 2006;Patrignani et al, 2014;Lollato et al, 2017). Grain yield exceeding published values would be questionable, as this analysis considers crop transpiration and maximum transpiration efficiency (Sheehy et al, 2004).…”

Section: Grain Yield Data and Data Quality Controlmentioning

confidence: 99%

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Agronomic Practices for Reducing Wheat Yield Gaps: A Quantitative Appraisal of Progressive Producers

et al. 2019

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There is limited information on agronomic practices affecting wheat (Triticum aestivum L.) yield in intensively managed dryland systems despite the opportunity to narrow the existing yield gap (YG). We used a unique database of 100 intensively managed field‐years entered in the Kansas Wheat Yield Contest during the 2010 to 2017 harvest seasons to (i) quantify the YG, (ii) describe wheat management, and (iii) identify management opportunities and weather patterns associated with yield. We simulated wheat water‐limited yield (Yw) using Simple Simulation Modeling–Wheat (SSM‐Wheat) model for each field‐year to estimate YG as the difference between Yw and actual yield (Ya) and used 11 statistical approaches to test the association of management practices and weather variables with Ya. Wheat Ya averaged 5.5 Mg ha−1, and simulated Yw averaged 6.4 Mg ha−1, resulting in a YG of 0.9 Mg ha−1 (15% of Yw). High‐yielding fields had lower maximum and minimum temperatures and greater cumulative solar radiation and precipitation during grain fill. Varieties susceptible to fungal diseases responded to foliar fungicide (0.8–1.4 Mg ha−1), whereas resistant varieties did not. Seeding rate was negatively associated with Ya, as yield quantile 0.99 was 7.5 Mg ha−1 and decreased by 2.7 Mg ha−1 for every 100‐seed m−2 increase in seeding rate above 305 seeds m−2. In‐furrow P fertilizer, previous crop, tillage practice, and N timing were also associated with Ya. We conclude that fields entered in yield contests have closed the exploitable YG, and there are opportunities to improve Ya through improved management in regions with stagnant wheat yield.

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“…However, the productivity of crops depends on their capture of resources, such as water, nutrients, and light. In arid regions, water stress is the main factor restricting crop production (Lollato, Edwards, & Ochsner, 2017), and it also limits the use of other resources (Fischer & Connor, 2018). The challenge is to increase crop yield with less water in regions with limited water and land resources through strategies that enhance water use efficiency (WUE).…”

Section: Introductionmentioning

confidence: 99%

Water and radiation use in maize–pea intercropping is enhanced with increased plant density

Fan

Chai

et al. 2020

Agronomy Journal

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Crop management to improve water use is a well‐established strategy for the effective use of limited natural resources in intercropping systems. Here, maize (Zea mays L.)– pea (Pisum sativum L.) strip intercropping with three maize densities (D1: 45,000, D2: 52,500, and D3: 60,000 plants ha−1) was compared to sole maize with three maize densities and sole pea. Soil water extraction and water difference were determined through soil water content over depth and across rows in intercropping, measured six times during the growing season. Land equivalent ratio (LER), radiation use efficiency (RUEGY for grain yield, and RUEBM for biomass), and water use efficiency (WUE) were calculated to compare intercropping with sole cropping. A soil water supplement potential from intercropped maize strips to intercropped pea was observed during the pea independent growth and co‐growth with maize periods, which declined as the growing season progressed and with increased maize density. After pea harvest, the potential of compensatory soil water for maize existed from the pea strips, which was greater with increased maize density. Maize–pea intercropping produced 23–38% greater total yield than corresponding sole crops, as the LER ranged from 1.23 to 1.38. Maize–pea intercropping with D3 attained the greatest grain yield, RUEGY, RUEBM, and WUE among three maize density treatments, and was 10, 9, 17, and 14% greater than that of corresponding sole maize. Increasing maize density increased grain yield, radiation and water use efficiency, and LER, indicating that the intercropping advantage was improved with increased maize density.

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Meteorological limits to winter wheat productivity in the U.S. southern Great Plains

Cited by 100 publications

References 48 publications

Limited irrigation influence on rotation yield, water use, and wheat traits

Limited irrigation influence on rotation yield, water use, and wheat traits

Agronomic Practices for Reducing Wheat Yield Gaps: A Quantitative Appraisal of Progressive Producers

Water and radiation use in maize–pea intercropping is enhanced with increased plant density

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