Assessment of the Winter Wheat Yield Gap for Smallholder Farmers in the Loess Plateau via Boundary Line Analysis

Closing the yield gap in smallholder farming systems requires precise identification of key limiting factors. This study addresses this need by applying boundary line analysis (BLA) to diagnose primary soil constraints to winter wheat (<i>Triticum aestivum</i> L.) yield across 95 smallholder farms in the Loess Plateau of China. The BLA approach effectively delineates optimum nutrient ranges amidst inherent field variability, offering a novel methodological advantage for heterogeneous agricultural landscapes. The results showed that, regarding variability, the coefficients of variation for productive spike number and grain yield were considerably greater than those for kernels per spike and thousand-kernel weight. Soil available phosphorus showed the highest coefficient of variation (67.1%), 1.8-2.2 times greater than that of soil organic matter, alkali-hydrolyzed nitrogen, and available potassium. Boundary line models identified significant (<i>p</i> < 0.05) parabolic relationships, defining optimal ranges of 18.5-21.7 g kg<sup>-1</sup> for soil organic matter, 10.4-49.0 mg kg<sup>-1</sup> for alkali-hydrolyzed nitrogen, 40.5-61.6 mg kg<sup>-1</sup> for available phosphorus, and 218.3-284.1 mg kg<sup>-1</sup> for available potassium. Crucially, maintaining soil organic matter and available phosphorus within their respective optimal ranges was fundamental for maximizing yield. These findings provide a scientific basis for site-specific nutrient management and offer direct implications for designing targeted agricultural extension services and fertilization policies to enhance productivity in smallholder systems.

Authors

Institutions

Publication Details

Journal
Plants
Published
2025-11-04
DOI
https://doi.org/10.3390/plants14213375
Primary Topic
Soil Geostatistics and Mapping
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of the Winter Wheat Yield Gap for Smallholder Farmers in the Loess Plateau via Boundary Line Analysis

Ze-Wei Qi, Jianfu Xue, Yuechao Wang, Jingjing Han et al.
Plants
Soil Geostatistics and Mapping
article

Assessment of the Winter Wheat Yield Gap for Smallholder Farmers in the Loess Plateau via Boundary Line Analysis

Ze-Wei Qi, Jianfu Xue, Yuechao Wang, Jingjing Han, Shoutian Ma, Zhiqiang Gao, Hao Liu, Wen Lin, Jiahui Wang, Xian-Ping Xia
article en

Abstract

Closing the yield gap in smallholder farming systems requires precise identification of key limiting factors. This study addresses this need by applying boundary line analysis (BLA) to diagnose primary soil constraints to winter wheat (<i>Triticum aestivum</i> L.) yield across 95 smallholder farms in the Loess Plateau of China. The BLA approach effectively delineates optimum nutrient ranges amidst inherent field variability, offering a novel methodological advantage for heterogeneous agricultural landscapes. The results showed that, regarding variability, the coefficients of variation for productive spike number and grain yield were considerably greater than those for kernels per spike and thousand-kernel weight. Soil available phosphorus showed the highest coefficient of variation (67.1%), 1.8-2.2 times greater than that of soil organic matter, alkali-hydrolyzed nitrogen, and available potassium. Boundary line models identified significant (<i>p</i> < 0.05) parabolic relationships, defining optimal ranges of 18.5-21.7 g kg<sup>-1</sup> for soil organic matter, 10.4-49.0 mg kg<sup>-1</sup> for alkali-hydrolyzed nitrogen, 40.5-61.6 mg kg<sup>-1</sup> for available phosphorus, and 218.3-284.1 mg kg<sup>-1</sup> for available potassium. Crucially, maintaining soil organic matter and available phosphorus within their respective optimal ranges was fundamental for maximizing yield. These findings provide a scientific basis for site-specific nutrient management and offer direct implications for designing targeted agricultural extension services and fertilization policies to enhance productivity in smallholder systems.

PlantsVol. 14(21)
Shanxi Agricultural University (CN), Farmland Irrigation Research Institute (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 70%
Soil Geostatistics and Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.