Temporal and spatial variations of soil C, N contents and C:N stoichiometry in the major grain-producing region of the North China Plain

Yang, Huan; Song, Xuan; Zhao, Yun; Wang, Weitong; Cheng, Zhennan; Zhang, Qi; Cheng, Daoquan

doi:10.1371/journal.pone.0253160

Cited by 6 publications

(3 citation statements)

References 27 publications

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“…It is likely because these rare SNPs were deleterious and, therefore, were maintained in low frequencies to increase the plant fitness in responding to changed N conditions. N, as one of the significant macronutrients for crop development, its composition in the soil varies spatially and temporally (31; 32). Therefore, it is not surprising to expect plant breeding over the past 60 years since the Green Revolution or natural selection on a longer time scale has affected the patterns of deleterious alleles in responding to the N availability.…”

Section: Discussionmentioning

confidence: 99%

Estimating the genetic parameters of yield-related traits under different nitrogen conditions in maize

Velazquez-Perfecto

et al. 2022

Preprint

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Understanding the genetic basis responding to nitrogen (N) fertilization in crop production is a long-standing research topic in plant breeding and genetics. Albeit years of continuous efforts, the genetic architecture parameters, such as heritability, polygenicity, and mode of selection, underlying the N-responses in maize remain largely unclear. In this study, about n = 230 maize inbred lines were phenotyped under high N (HN) and low N (LN) conditions for two consecutive years to obtain six yield-related traits. Heritability analyses suggested that traits highly responsive to N treatments were less heritable. Using publicly available SNP genotypes, the genome-wide association study (GWAS) was conducted to identify n = 231 and n = 139 trait-associated loci (TALs) under HN and LN conditions, respectively, and n = 162 TALs for N responsive (NR) traits. Furthermore, the genome-wide complex trait Bayesian (GCTB) analysis, a method complementary to GWAS, was performed to estimate genetic parameters, including genetic polygenicity and the mode of selection (S). GCTB results suggested that the NR value of a yield component trait was highly polygenic and that four NR traits exhibited negative correlations between SNP effects and their minor allele frequencies (or the S value < 0) --- a pattern consistent with negative selection to purge deleterious alleles. This study reveals the complex genetic architecture underlying N responses for yield-related traits and provides insights into the future direction for N resilient maize development.

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Section: Discussionmentioning

confidence: 99%

Estimating the genetic parameters of yield-related traits under different nitrogen conditions in maize

Velazquez-Perfecto

et al. 2022

Preprint

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“…Sakin et al [113] found the C/N ratio of arable soils much lower than 10, which might indicate N input from external sources, mainly from fertilizers and deposits. On the other hand, prolonged intensive farming also led to a continuous increase in soil nitrogen [114,115]. 4.3.3.…”

Section: Soc Tn and C/nmentioning

confidence: 99%

Characterization and Mapping of Soil-Landscape for Site-Specific Soil Management in Ayiba Watershed, Northern Highlands of Ethiopia

Seifu

Elias

Gebresamuel

et al. 2023

Applied and Environmental Soil Science

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The characterization of soil landscapes is becoming increasingly important for making decisions regarding site-specific agriculture systems and soil management. This study was initiated for the purpose of identifying landscape-scale spatial soil variation using a toposequence model so that site-specific fertilization could be achieved. According to the finding, the soils were shallow to very deep in depth, moderately acidic to moderately alkaline in soil reaction, nonsaline in salinity, and clay to sandy loam in texture. The soils were found very low to low levels in most soil nutrients, very low to very high levels of base saturation, and deficient in zinc but have adequate levels of iron, copper, and manganese. The soil exchange complex was mainly dominated by Ca and Mg where the order of occurrence was Ca > mg > K > Na. The CEC values were in high to very high range. Following the field survey and soil analytical results, five main reference soil groups of the World Soil Resource Base—Leptosols (56%), Luvisols (8.5%), Fluvisols (14.4%), Vertisols (13%), and Cambisol (8.2%)—were identified and mapped. Leptosols cover the largest landmass of the watershed and mostly found at the summit and hill back slopes. On the other hand, Luvisols, Fluvisols, Vertisols, and Cambisols were found on the middle and foot slopes. According to the findings, the variation in soil source indicating that topography is the primary pedogenic element in the formation of the soil in the watershed that was under research. Therefore, having local-scale-specific soil information can assist the site-specific application of soil nutrients and amendments based on spatial variability which is tailored to the soil requirements.

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“…Sakin et al (2010) found the C/N ratio of arable soils much lower than 10, might indicate N input from external sources, mainly from fertilizers and deposits. On the other hand, prolonged intensive farming also led to a continuous increase in soil nitrogen (Deng et al 2014;Yang et al 2021).…”

Section: Chemical Characteristics Of the Studied Soilsmentioning

confidence: 99%

Soil-Landscape Characterization and Mapping to Advance the State of Spatial Soil Information on Ethiopian Highlands: Implications for Site-Specific Soil Management

Seifu¹,

Elias²,

Gebresamuel³

et al. 2019

agroped

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Currently, soil characterization and classification are becoming the primary source of information for precision agriculture, land use planning, and management. Thus, this study was focused on perusing the landscape-scale spatial variation of soils in data-scarce areas using toposequence-based ground sampling to characterize and classify the soils. Six typical profiles representing major landforms were opened and studied for their morphological characteristics and physical and chemical properties. Results indicated that the soils were shallow to very deep in depth, moderately acidic to moderately alkaline in soil reaction, non-saline, and clay to sandy loam in texture. The soils were found to be very low to low in organic carbon, very low to medium in total nitrogen , low to medium in available P, very low in available S, very low to low in available B, high to very high in CEC and very low to very high in base saturation. The soils were found to tbe deficient in Zn but sufficient in Fe, Cu, and Mn. Following the field survey and soil analytical results, five main reference soil groups, mollic Leptosols (Eutric), Prothovertio Luvisols (Clayic, Aric, Escalic), Skeletic Fluvisols (Arenic, Densic), Haplic Leptosols (Skeletic), Haplic Vertisols (Endocalcaric, Ochric), and Haplic Cambisols (Arenic, Aric) were identified in the different parts of the topographic positions. Pedon - 2, 3, 5, and 6 were classified in I to IV land capability class (LCC) and grouped as arable land with some limitations. They were in suitable to a marginally suitable range. The severe constraints to crop cultivation in the area were low fertility, erosion hazard, and climate for all soil units. Therefore, application of manure and compost alongwith chemical fertilizer, reducing complete crop residue removal, and soil and water conservation measures are essential to overcome these common and other limitations.

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Temporal and spatial variations of soil C, N contents and C:N stoichiometry in the major grain-producing region of the North China Plain

Cited by 6 publications

References 27 publications

Estimating the genetic parameters of yield-related traits under different nitrogen conditions in maize

Estimating the genetic parameters of yield-related traits under different nitrogen conditions in maize

Characterization and Mapping of Soil-Landscape for Site-Specific Soil Management in Ayiba Watershed, Northern Highlands of Ethiopia

Soil-Landscape Characterization and Mapping to Advance the State of Spatial Soil Information on Ethiopian Highlands: Implications for Site-Specific Soil Management

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