CROP SCIENCE作物科学
CROP SCIENCE(英文缩写 CROP SCI),ISSN 0011-183X,eISSN 1435-0653,中文译名:作物科学 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-11-01 至 2026-10-31，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 2.763 | Q2 |
| 2022 | 2.300 | Q2 |
| 2023 | 2.000 | Q2 |
| 2024 | 1.900 | Q2 |
| 2025 | 2.400 | Q2 |
CROP SCIENCE 最新收录文献
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1. Synthesis, function, and genetic variation of sorgoleone, the major biological nitrification inhibitor in sorghum.
PMID:日期:2025-05-14Sorghum is the third most important food crop, grown on nearly 40 million ha globally, and is known for its resilience under unfavorable conditions. Sorghum is reported to have a strong Biological Nitrification Inhibition (BNI) capacity in root systems, a plant function that suppresses soil nitrifier activity, which in turn prevents the nitrogen (N) loss by reducing nitrous oxide (NO), nitric oxide (NO) emission, and nitrate (NO ) leaching into water bodies. Sorgoleone, a major hydrophobic phytochemical released from sorghum roots, provides a significant part of BNI function in sorghum. The function of sorgoleone in suppressing nitrifying bacteria in pure cultures has been established. In addition, sorgoleone suppresses transformation of ammonium (NH) to NO and NO emissions from soils. Therefore, introducing high-sorgoelone phenotype into elite sorghum hybrids can increase nitrogen use efficiency while decreasing the environmental footprint of sorghum production systems. In recent years, significant progress has been made in identifying the mechanisms of sorgoleone production and secretion. Moreover, studies using both wild accessions and elite breeding materials reported significant genetic variation for sorgoleone secretion, and sorgoleone secretion was found to be highly heritable, making it a good target for breeding. This review distills the current understanding of sorgoleone release in relation to BNI function and opportunities to exploit this trait. Also, we provide our assessment for genetic interventions of sorgoelone biosynthesis and secretion pathways to enhance BNI capacity in sorghum. High-BNI sorghum hybrids can be an important component of low-nitrifying, low-NO-emitting agricultural production systems that are eco-friendly, productive, and sustainable.
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2. Interaction of planting system with radiation-use efficiency in wheat lines.
PMID:日期:2023-11-14Radiation-use efficiency (RUE) is an important trait for raising biomass and yield potential in plant breeding. However, the effect of the planting system (PS) on genetic variation in RUE has not been previously investigated. Our objectives were to quantify genetic variation in RUE, biomass and grain yield in raised-bed and flat-basin planting systems, and associations with canopy-architecture traits (flag-leaf angle and curvature). Twelve spring wheat ( L.) cultivars were evaluated under irrigated conditions for 3 years in North West Mexico using raised-bed and flat-basin planting systems. Canopy architecture traits were measured at booting and anthesis + 7 days. Grain yield (10.6%), biomass (7.6%), and pre-grain-filling RUE (9.7%) were higher in raised beds than flat basins, while a significant planting system × genotype interaction was found for grain yield. Genetic variation in pre-grain-filling RUE was associated with biomass and grain yield in beds and basins. In flat basins, higher pre-grain-filling RUE was correlated with a more upright flag-leaf angle but not in raised beds. In raised beds, cultivars with less upright flag-leaf angle had greater fractional light interception pre-anthesis. Taller semi-dwarf cultivars intercepted relatively more radiation in the beds than the flats before anthesis, consistent with the taller cultivars showing relatively greater increases in yield in beds compared to flats. Our results indicated that the evaluation of genotypes for RUE and biomass in wheat breeding should take into account planting systems to capture genotype × PS effects. In addition, the results demonstrate how flag-leaf angle has a different effect depending on the planting system.
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3. Using machine learning enabled phenotyping to characterize nodulation in three early vegetative stages in soybean.
3. 利用机器学习赋能的表型分析技术表征大豆三个早期营养生长阶段的结瘤情况PMID:日期:2022-12-27The symbiotic relationship between soybean [ L. (Merr.)] roots and bacteria () lead to the development of nodules, important legume root structures where atmospheric nitrogen (N) is fixed into bio-available ammonia (NH) for plant growth and development. With the recent development of the Soybean Nodule Acquisition Pipeline (SNAP), nodules can more easily be quantified and evaluated for genetic diversity and growth patterns across unique soybean root system architectures. We explored six diverse soybean genotypes across three field year combinations in three early vegetative stages of development and report the unique relationships between soybean nodules in the taproot and non-taproot growth zones of diverse root system architectures of these genotypes. We found unique growth patterns in the nodules of taproots showing genotypic differences in how nodules grew in count, size, and total nodule area per genotype compared to non-taproot nodules. We propose that nodulation should be defined as a function of both nodule count and individual nodule area resulting in a total nodule area per root or growth regions of the root. We also report on the relationships between the nodules and total nitrogen in the seed at maturity, finding a strong correlation between the taproot nodules and final seed nitrogen at maturity. The applications of these findings could lead to an enhanced understanding of the plant- relationship and exploring these relationships could lead to leveraging greater nitrogen use efficiency and nodulation carbon to nitrogen production efficiency across the soybean germplasm.
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4. Genome-wide association mapping of Hagberg falling number, protein content, test weight, and grain yield in U.K. wheat.
4. 英国小麦中哈格伯格降落值、蛋白质含量、容重和籽粒产量的全基因组关联作图PMID:日期:2022-03-04Association mapping using crop cultivars allows identification of genetic loci of direct relevance to breeding. Here, 150 U.K. wheat ( L.) cultivars genotyped with 23,288 single nucleotide polymorphisms (SNPs) were used for genome-wide association studies (GWAS) using historical phenotypic data for grain protein content, Hagberg falling number (HFN), test weight, and grain yield. Power calculations indicated experimental design would enable detection of quantitative trait loci (QTL) explaining ≥20% of the variation (PVE) at a relatively high power of >80%, falling to 40% for detection of a SNP with an ≥ .5 with the same QTL. Genome-wide association studies identified marker-trait associations for all four traits. For HFN ( = .89), six QTL were identified, including a major locus on chromosome 7B explaining 49% PVE and reducing HFN by 44 s. For protein content ( = 0.86), 10 QTL were found on chromosomes 1A, 2A, 2B, 3A, 3B, and 6B, together explaining 48.9% PVE. For test weight, five QTL were identified (one on 1B and four on 3B; 26.3% PVE). Finally, 14 loci were identified for grain yield ( = 0.95) on eight chromosomes (1A, 2A, 2B, 2D, 3A, 5B, 6A, 6B; 68.1% PVE), of which five were located within 16 Mbp of genetic regions previously identified as under breeder selection in European wheat. Our study demonstrates the utility of exploiting historical crop datasets, identifying genomic targets for independent validation, and ultimately for wheat genetic improvement.
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5. The statistical theory of linear selection indices from phenotypic to genomic selection.
5. 从表型选择到基因组选择的线性选择指数的统计理论PMID:日期:2022-02-06A linear selection index (LSI) can be a linear combination of phenotypic values, marker scores, and genomic estimated breeding values (GEBVs); phenotypic values and marker scores; or phenotypic values and GEBVs jointly. The main objective of the LSI is to predict the net genetic merit (), which is a linear combination of unobservable individual traits' breeding values, weighted by the trait economic values; thus, the target of LSI is not a parameter but rather the unobserved random values. The LSI can be single-stage or multi-stage, where the latter are methods for selecting one or more individual traits available at different times or stages of development in both plants and animals. Likewise, LSIs can be either constrained or unconstrained. A constrained LSI imposes predetermined genetic gain on expected genetic gain per trait and includes the unconstrained LSI as particular cases. The main LSI parameters are the selection response, the expected genetic gain per trait, and its correlation with . When the population mean is zero, the selection response and expected genetic gain per trait are, respectively, the conditional mean of and the genotypic values, given the LSI values. The application of LSI theory is rapidly diversifying; however, because LSIs are based on the best linear predictor and on the canonical correlation theory, the LSI theory can be explained in a simple form. We provided a review of the statistical theory of the LSI from phenotypic to genomic selection showing their relationships, advantages, and limitations, which should allow breeders to use the LSI theory confidently in breeding programs.
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6. Phasing and imputation of single nucleotide polymorphism data of missing parents of biparental plant populations.
6. 双亲植物群体中缺失亲本的单核苷酸多态性数据的定相与填补PMID:日期:2021-06-14This paper presents an extension to a heuristic method for phasing and imputation of genotypes of descendants in biparental populations so that it can phase and impute genotypes of parents that are ungenotyped or partially genotyped. The imputed genotypes of the parent are used to impute low-density (Ld) genotyped descendants to high density (Hd). The extension was implemented as part of the AlphaPlantImpute software and works in three steps. First, it identifies whether a parent has no or Ld genotypes and identifies its relatives that have Hd genotypes. Second, using the Hd genotypes of relatives, it determines whether the parent is homozygous or heterozygous for a given locus. Third, it phases heterozygous positions of the parent by matching haplotypes to its relatives. We measured the accuracy (correlation between true and imputed genotypes) of imputing parent genotypes in simulated biparental populations from different scenarios. We tested the imputation accuracy of the missing parent's descendants using the true genotype of the parent and compared this with using the imputed genotypes of the parent. Across all scenarios, the imputation accuracy of a parent was >0.98 and did not drop below ∼0.96. The imputation accuracy of a parent was always higher when it was inbred than outbred. Including ancestors of the parent at Hd, increasing the number of crosses and the number of Hd descendants increased the imputation accuracy. The high imputation accuracy achieved for the parent translated to little or no impact on the imputation accuracy of its descendants.
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7. Cotton photosynthetic productivity enhancement through uniform row-spacing with optimal plant density in Xinjiang, China.
7. 通过均匀行距与最优种植密度提升中国新疆棉花光合生产力PMID:日期:2021-06-12Xinjiang is currently the most dominant cotton ( L.)-growing region in China and possesses abundant radiation resource. The cultivation techniques such as wide and narrow row-spacing and high density are widely adopted to obtain high cotton yield in the region. However, the region is facing some problems including poor light transmittance in the field and low exploitation for light resources under the current planting pattern which impedes further growth in cotton yields. Therefore, it is essential to develop some cultivation practices to increase radiation use efficiency (RUE) and cotton yields in Xinjiang. Here we conducted a field experiment to quantify the effects of row spacing pattern and plant density on RUE, intercepted photosynthetically active radiation from May to August (IRAR), and lint yield during 2017 and 2018. In this study, we designed two row-spacing configurations (R, wide and narrow configuration, 66 cm + 10 cm; R, uniform row-spacing configuration, 76 cm) and six plant densities (4.5, 9.0, 13.5, 18.0, 22.5, and 27.0 plants m). The RUE, lint yield, and number of bolls were higher in R than R by 4.1-5.9, 2.5-4.8, and 9.1-14.2%, respectively. The RUE significantly increased with plant density, but lint yield stabilized at 18.0 plants m. Moreover, RUE had more significant positive effects on boll number and lint yield. Overall, we found that R combined with optimal plant densities (13.5-18.0 plants m) would be an effective strategy to achieve higher RUE and yields in the Xinjiang cotton system.
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8. Field resistance to wheat stem rust in durum wheat accessions deposited at the USDA National Small Grains Collection.
PMID:日期:2021-05-30Wheat stem rust, caused by f. sp. , is a re-emerging disease, posing a significant threat to durum wheat production worldwide. The limited number of stem rust resistance genes in modern cultivars compels us to identify and incorporate new effective genes in durum wheat breeding programs. We evaluated 8,245 spring durum wheat accessions deposited at the USDA National Small Grains Collection (NSGC) for resistance in field stem rust nurseries in Debre Zeit, Ethiopia and St. Paul, MN (USA). A higher level of disease development was observed at the Debre Zeit nursery compared with St. Paul, and the effective alleles of in this nursery did not display the level of resistance observed at the St. Paul nursery. Four hundred and ninety-one (∽6%) accessions exhibited resistant to moderately susceptible responses after three field evaluations at Debre Zeit and two at St. Paul. Nearly 70% of these accessions originated from Ethiopia, Mexico, Egypt, and USA. Eight additional countries, namely Portugal, Turkey, Italy, Canada, Chile, Australia, Syria, and Tunisia contributed to 19% of the resistant to moderately susceptible entries. Among the 491 resistant to moderately susceptible accessions, 53.8% (n = 265) were landraces, and 28.4% (n = 139) and 11.4% (n = 55) were breeding lines and cultivars, respectively. Breeding lines and cultivars displayed a higher level and frequency of resistance than the landraces. We concluded that a large number of durum wheat accessions from diverse origins deposited at the NSGC can be exploited for diversifying and improving stem rust resistance in wheat.
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9. {"_":"Genetics of extra-early-maturing yellow and orange quality protein maize inbreds and derived hybrids under low soil nitrogen and infestation.","i":["Striga"]}
9. {"_":"低土壤氮和独脚金侵染条件下特早熟黄色和橙色优质蛋白玉米自交系及其衍生杂交种的遗传学研究。","i":["独脚金"]}PMID:日期:2020-12-22The development and commercialization of extra-early quality protein maize (QPM)-provitamin A (PVA) hybrids that are tolerant of low soil N (LN) and resistant are essential for addressing the food insecurity and undernourishment challenges currently faced by sub-Saharan Africa (SSA). This study was designed (a) to determine the genetic effects regulating grain yield (GY) and important secondary traits of extra-early yellow and orange QPM-PVA inbred lines under LN, infested, and high-N (HN) conditions, (b) to investigate whether maternal genes influenced the inheritance of GY and other secondary traits, (c) to assess the GY and stability of the hybrids across the three management conditions, and (d) to examine the relationship between single nucleotide polymorphism (SNP) marker-based genetic distances and GY. Twenty-four inbred lines were used to produce ninety-six single cross hybrids using the North Carolina Design II. The performance of the hybrids plus four checks was assessed across LN, -infested, and HN management conditions in Ghana and Nigeria in 2018. Additive genetic variances were preponderant over nonadditive genetic variances for GY and most secondary traits in each and across environments. TZEEQI 358 exhibited significant and positive male and female GCA effects for GY under LN, infestation, HN, and across management conditions indicating that favorable alleles for GY could be donated by TZEEQI 358. Maternal effects regulated the inheritance of plant height under the infested conditions. Genetic distances were associated with GY under LN, infestation, and HN conditions. TZEEIORQ 58 TZEEQI 397 demonstrated high GY and stability of performance; therefore, it should be further tested under multiple environments for commercialization.
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10. Genetic parameters, prediction, and selection in a white Guinea yam early-generation breeding population using pedigree information.
10. 利用系谱信息的白几内亚山药早期育种群体的遗传参数、预测与选择PMID:日期:2020-12-22Better understanding of the genetic control of traits in breeding populations is crucial for the selection of superior varieties and parents. This study aimed to assess genetic parameters and breeding values for six essential traits in a white Guinea yam ( Poir.) breeding population. For this, pedigree-based best linear unbiased prediction (P-BLUP) was used. The results revealed significant nonadditive genetic variances and medium to high (.45-.79) broad-sense heritability estimates for the traits studied. The pattern of associations among the genetic values of the traits suggests that selection based on a multiple-trait selection index has potential for identifying superior breeding lines. Parental breeding values predicted using progeny performance identified 13 clones with high genetic potential for simultaneous improvement of the measured traits in the yam breeding program. Subsets of progeny were identified for intermating or further variety testing based on additive genetic and total genetic values. Selection of the top 5% progenies based on the multi-trait index revealed positive genetic gains for fresh tuber yield (t ha), tuber yield (kg plant), and average tuber weight (kg). However, genetic gain was negative for tuber dry matter content and resistance in comparison with standard varieties. Our results show the relevance of P-BLUP for the selection of superior parental clones and progenies with higher breeding values for interbreeding and higher genotypic value for variety development in yam.