Dataset Information

High yield with efficient nutrient use: Opportunities and challenges for wheat.

ABSTRACT: Understanding yield formation and nutrient use are essential for wheat breeding and management. This study combined 76 field trials and literature data with scenario analysis to explore the potential of high yield, nutritional quality, and nutrient efficiency in wheat production in China. Currently, the high yield is achieved with high grain N and S but low Zn concentration, and low N efficiency. To improve the grain yield by 10% in 2035, the grain number needs to increase from 31.8 to 38.5 grain spike^-1, and the harvest index from 46.6% to 48.6%, with a reduction in spike number by 10%, when the grain N, Fe, Zn, and S, the nutrient removal efficiency, and the fertilizer efficiency of N, P, and K could all be increased. Our study provides strategies and ideas for promoting wheat production with high nutritional quality and high nutrient efficiency in China and other countries.

SUBMITTER: Huang N

PROVIDER: S-EPMC10040891 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature

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High yield with efficient nutrient use: Opportunities and challenges for wheat.

Huang Ning N Dang Haiyan H Mu Wenyan W Ma Jianxiong J Ma Yue Y Wang Li L Shi Mei M Tian Hui H Liu Jinshan J Chen Yinglong Y Wang Zhaohui Z

iScience 20230222 3

Understanding yield formation and nutrient use are essential for wheat breeding and management. This study combined 76 field trials and literature data with scenario analysis to explore the potential of high yield, nutritional quality, and nutrient efficiency in wheat production in China. Currently, the high yield is achieved with high grain N and S but low Zn concentration, and low N efficiency. To improve the grain yield by 10% in 2035, the grain number needs to increase from 31.8 to 38.5 grai ...[more]

PMID: 36994185

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Project description:In order to make clear the recent status and trend of wheat (Triticum aestivum L.) production in China, datasets from multiple field experiments and published literature were collected to study the agronomic characteristics related to grain yield, fertilizer application and nutrient use efficiency from the year 2000 to 2011. The results showed that the mean grain yield of wheat in 2000-2011 was 5950 kg/ha, while the N, P2O5 and K2O application rates were 172, 102 and 91 kg/ha on average, respectively. The decrease in N and P2O5 and increase in K2O balanced the nutrient supply and was the main reason for yield increase. The partial factor productivity (PFP, kg grain yield produced per unit of N, P2O5 or K2O applied) values of N (PFP-N), P (PFP-P) and K (PFP-K) were in the ranges of 29.5~39.6, 43.4~74.9 and 44.1~76.5 kg/kg, respectively. While PFP-N showed no significant changes from 2000 to 2010, both PFP-P and PFP-K showed an increased trend over this period. The mean agronomic efficiency (AE, kg grain yield increased per unit of N, P2O5 or K2O applied) values of N (AEN), P (AEP) and K (AEK) were 9.4, 10.2 and 6.5 kg/kg, respectively. The AE values demonstrated marked inter-annual fluctuations, with the amplitude of fluctuation for AEN greater than those for AEP and AEK. The mean fertilizer recovery efficiency (RE, the fraction of nutrient uptake in aboveground plant dry matter to the nutrient of fertilizer application) values of N, P and K in the aboveground biomass were 33.1%, 24.3% and 28.4%, respectively. It was also revealed that different wheat ecological regions differ greatly in wheat productivity, fertilizer application and nutrient use efficiency. In summary, it was suggested that best nutrient management practices, i.e. fertilizer recommendation applied based on soil testing or yield response, with strategies to match the nutrient input with realistic yield and demand, or provided with the 4R's nutrient management (right time, right rate, right site and right fertilizer) should be adopted widely to improve the yield production and nutrient use efficiency.

Project description:The blanket NP fertilizer recommendation over the past five decades in Ethiopia did not result in a significant increment of crop productivity. The main lack of success was highly linked to the extrapolating approach of one site success to others without considering the climate, soil, and ecological setting and variations. As a result, a new fertilization approach was desperately needed, and with this premise, new blended fertilizers are now being introduced to replace the conventional approach. Thus, the objective of this study was to examine the effect of NPSZnB blended fertilizer on bread wheat yield attributes, quality traits and use efficiency in two different soil types under rain-fed conditions in Ayiba, northern Ethiopia. Relevant agronomic data were evaluated and recorded from plots of each soil types for analysis. The analysis of variance revealed a significant (p < 0.001) variation on all the agronomic and grain quality traits due to the main and interaction effects of soil type and fertilizer treatment factors. Most agronomic and quality characteristics recorded the highest result in the highest treatment applications (175 and 150 kg NPSZnB ha-1) in both soils. Yield and grain quality traits of bread wheat was also found better under fertilized plots than unfertilized plots. In both soil types increasing application of the new blended fertilizer rate from 50-175 kg NPSZnB ha-1 showed an increasing trend in grain yield from 1.6 to 4.3 and 2.5 to 5.4 t ha-1 in Vertisol and Cambisol soils, respectively. The varied yield as a response of fertilizer treatments across soils signifies soil-specific fertilization approach is critically important for production increment. On the other hand, based on the partial budget analysis the highest net benefit with the highest marginal rate of return in both Vertisol and Cambisol soils were obtained when treated with 100 and 125 kg NPSZnB ha-1, respectively. Therefore, to produce optimum bread wheat yield under rainfed conditions in Ayiba (northern Ethiopia) fertilizing Vertisols with 100 kg NPSZnB ha-1 and fertilizing Cambisols with 125 kg NPSZnB ha-1 is recommended.

Project description:In boundary line analysis a biological response (e.g., crop yield) is assumed to be a function of a variable (e.g., soil nutrient concentration), which limits the response in only some subset of observations because other limiting factors also apply. The response function is therefore expressed by an upper boundary of the plot of the response against the variable. This model has been used in various branches of soil science. In this paper we apply it to the analysis of some large datasets, originating from commercial farms in England and Wales, on the recorded yield of wheat and measured concentrations of soil nutrients in within-field soil management zones. We considered boundary line models for the effects of potassium (K), phosphorus (P) and magnesium (Mg) on yield, comparing the model with a simple bivariate normal distribution or a bivariate normal censored at a constant maximum yield. We were able to show, using likelihood-based methods, that the boundary line model was preferable in most cases. The boundary line model suggested that the standard RB209 soil nutrient index values (Agriculture and Horticulture Development Board, nutrient management guide (RB209), 2017) are robust and apply at the within-field scale. However, there was evidence that wheat yield could respond to additional Mg at concentrations above index 0, contrary to RB209 guidelines. Furthermore, there was evidence that the boundary line model for yield and P differs between soils at different pH and depth intervals, suggesting that shallow soils with larger pH require a larger target P index than others.HighlightsBoundary line analysis is one way to examine how soil variables influence crop yield in large datasets.We showed that boundary line models could be applied to large datasets on soil nutrients and crop yield.The resulting models are consistent with current practice for P and K, but not for Mg.Models suggest that more refined recommendations for P requirement could be based on soil pH and depth.

Dataset Information

High yield with efficient nutrient use: Opportunities and challenges for wheat.

Publications

High yield with efficient nutrient use: Opportunities and challenges for wheat.

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