{"title":"A critical review of the factors influencing pre-harvest sprouting of wheat","authors":"S. I. Hull, P. A. Swanepoel, W. C. Botes","doi":"10.1002/agj2.21701","DOIUrl":"https://doi.org/10.1002/agj2.21701","url":null,"abstract":"<p>Pre-harvest sprouting (PHS) is a global issue affecting a multitude of crops, including wheat (<i>Triticum aestivum</i> L.). The combination of conducive conditions and a lack of genetic seed dormancy results in the sprouting of intact grain at or prior to harvesting. The initiation of germination synthesizes gibberellic acid resulting in the activation of the alpha-amylase synthesis via a calcium-dependent signal transduction pathway. Alpha-amylase synthesized via this pathway degrades the endosperm, decreasing bread-making quality. A commonly used indicator for bread-making quality is the Hagberg Falling Number. Environmental, phenotypic, genetic, and management factors influence the susceptibility of wheat to PHS. Rainfall, temperature, and relative humidity are commonly associated with PHS. The combination of these conditions results in the greatest severity of PHS. Morphological features such as awns and epicuticular waxes may increase the quantity of rainfall retained against the grain, increasing the risk of PHS. Similarly, management factors such as fertilization and fungicide application also may increase the risk of PHS occurring. Further research is necessary to understand the mechanisms and impact of management factors on PHS. Additionally, further investigations are needed to explore how environmental and genotypic interactions affect PHS susceptibility.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"116 6","pages":"3354-3367"},"PeriodicalIF":2.0,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.21701","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dakota Boren, Tina Sullivan, Bradley S. Crookston, Matt Yost, Grant Cardon, Joseph Creech
{"title":"Alfalfa potassium and phosphorus uptake and use efficiencies as impacted by irrigation technology, deficit irrigation, and alfalfa cultivar","authors":"Dakota Boren, Tina Sullivan, Bradley S. Crookston, Matt Yost, Grant Cardon, Joseph Creech","doi":"10.1002/agj2.21692","DOIUrl":"https://doi.org/10.1002/agj2.21692","url":null,"abstract":"<p>As competition for limited water resources in the western United States and other arid and semiarid regions intensifies, there is a need to provide alfalfa (<i>Medicago sativa</i>) growers with knowledge of how water-optimizing practices impact alfalfa nutrient use. The objective of this research was to evaluate how three water management strategies, and their interactions, influence alfalfa K and P concentration, uptake, uptake efficiency, and internal use efficiency. Alfalfa cultivars, deficit irrigation, and irrigation technologies were tested at two sites in Utah during 2020–2021. A single drought-tolerant (DT) cultivar (‘Ladak II’) was compared to a conventional alfalfa cultivar specific to each location. Four irrigation rates (100%, uniform reductions of 25% and 50%, and a targeted reduction of ∼50%) were nested within five pivot irrigation technologies. Few alfalfa K and P nutrient dynamics responded to the interactions of cultivar and rate or technology. Nutrient responses to the irrigation technologies were strongly associated with the technology effect on alfalfa yield such that uptake efficiency was sometimes greater with low-elevation sprinkler technologies. The K and P responses to deficit irrigation were most pronounced at the uniform or targeted 50% irrigation rate. Alfalfa cultivar had the least impact on alfalfa K and P dynamics, and the DT cultivar never improved uptake or efficiencies. These results indicate that few adjustments in K and P management may be needed with the three water optimization approaches evaluated in this study. The most notable is that K and P fertilizer input can likely be reduced with severe deficit irrigation.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"116 6","pages":"3273-3286"},"PeriodicalIF":2.0,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Steven Hall, Brian Pieralisi, Darrin Dodds, Tyson Raper, Whitney Crow, Angus Catchot, John Irby, Ramandeep Kumar Sharma
{"title":"Effect of cotton seed size and seeding density on cotton growth, development, and yield","authors":"Steven Hall, Brian Pieralisi, Darrin Dodds, Tyson Raper, Whitney Crow, Angus Catchot, John Irby, Ramandeep Kumar Sharma","doi":"10.1002/agj2.21699","DOIUrl":"https://doi.org/10.1002/agj2.21699","url":null,"abstract":"<p>Interest in cotton seed size and seeding density exists due to increased seeding cost and overall decreased seed size of cotton varieties. An experiment was conducted in 2019 and 2020 in Jackson, TN, Starkville, MS, and Brooksville, MS, to determine the impact of seed size, seeding density, and variety on cotton plant development and yield. Early-season seedling vigor was impacted by seeding density and seed size. Larger seeds and higher seeding densities produced the greatest seedling vigor. Fresh weight biomass was also impacted by seed size, as larger seed produced greater fresh and dry cotton plant biomass when pooled over seeding density and variety. The greatest seed cotton yields were obtained from planting larger seed, higher seeding densities, and from ‘DP 1646 B2XF’. Cotton variety and seeding density influenced financial returns and fiber quality. ‘NexGen 3406 B2XF’ planted at 148,200 seeds ha<sup>−1</sup> resulted in the lowest micronaire. Net returns were not influenced by seed size or seeding density; therefore, depending on seed costs, increasing seeding densities may not be beneficial.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"116 6","pages":"2967-2975"},"PeriodicalIF":2.0,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.21699","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dwarika Bhattarai, Sharon A. Clay, Thandiwe Nleya, Jason D. Clark, David E. Clay
{"title":"Improvements in maize N recommendations decreased carbon dioxide equivalence without sacrificing yield","authors":"Dwarika Bhattarai, Sharon A. Clay, Thandiwe Nleya, Jason D. Clark, David E. Clay","doi":"10.1002/agj2.21694","DOIUrl":"https://doi.org/10.1002/agj2.21694","url":null,"abstract":"<p>Globally, agricultural scientists are challenged with creating, testing, and validating climate-smart nutrient strategies that reduce greenhouse gas emissions while increasing food security. This study determined maize (<i>Zea mays</i> L.) N recommendations and bias for N-rate studies conducted in South Dakota using models created for western Minnesota, Iowa, Eastern North Dakota, Nebraska, and South Dakota. From 2019 to 2021, 16 N rate studies were conducted in long-term no-tillage (>6 years) fields located in South Dakota. In the randomized block replicated study, the soils were mollisols that were derived in a semi-arid frigid environment. The economic optimum N rates were calculated using four fertilizer-to-maize grain price ratios (4.11, 5.48, 6.85, and 8.23 [$ (kg N)<sup>−1</sup>] [$ (kg grain)<sup>−1</sup>]<sup>−1</sup>). Analysis showed that reducing the yield goal coefficient used in the South Dakota model from 21.4 to 17.9 kg N (Mg grain)<sup>−1</sup> reduced the recommended N rate but did not reduce yield. The reduced yield goal coefficient that considered the fertilizer-to-maize price ratio also reduced model root mean square error (RMSE), bias, and the estimated partial carbon dioxide equivalence (CO<sub>2e</sub>) by at least 18%. Nitrogen recommendation models developed for western Minnesota, Iowa, and South Dakota had similar RMSE, bias, and fertilizer recommendations, and adjusting the recommendation based on expected fertilizer cost and maize selling price improved accuracy. This study suggests that yield was not sacrificed by reducing the coefficients from 21.4 to 17.9 kg N (Mg grain)<sup>−1</sup> and that recommendations are improved by considering the fertilizer-to-maize grain price ratio.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"116 6","pages":"2912-2921"},"PeriodicalIF":2.0,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.21694","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Within-field variation of crop yield loss from cover crops","authors":"Andrei I. Girz, Tuomas J. Mattila","doi":"10.1002/agj2.21696","DOIUrl":"https://doi.org/10.1002/agj2.21696","url":null,"abstract":"<p>The amount of high-resolution agricultural data has increased rapidly in the current decade. Integration of satellite multispectral imagery, combine harvester yield monitoring data, and soil moisture mapping allows managing for within-field variation and better interpreting on-farm experimentation. In this study, we investigated the effect of cover crops on yield in Finland by integrating Sentinel-2 satellite imagery (normalized difference vegetation index), topographic soil moisture indexes, and high-resolution yield data. The experiment was run by three farmers over 4 years and serves as an example for low-cost on-farm experimentation. Our results confirmed earlier findings that undersown cover crops result in approximately 5% yield loss. We also found that the effect is highly variable across farms and within fields. The highest yield losses were found in areas of the field, which were wetter in the spring seeding time. The competition between crop and cover crop could be observed in the vegetation maps for autumn and early summer. Combining NDVI and soil moisture maps allows delineating field zones, which require extra management to reduce the risk of yield loss from cover crop resource competition. Evaluating the overall effect of cover crops on yield would require replication on more farms. The within-field variation results and workflow investigated in this study can guide placement of sampling areas within those fields.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"116 6","pages":"2922-2933"},"PeriodicalIF":2.0,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.21696","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yesuf Assen Mohammed, Russ W. Gesch, Samantha Wells, Nicholas J. Heller, Alexander J. Lindsey, Alexander W. Hard, Winthrop B. Phippen
{"title":"Economic evaluation of corn relative maturity hybrids in corn–pennycress–soybean rotations","authors":"Yesuf Assen Mohammed, Russ W. Gesch, Samantha Wells, Nicholas J. Heller, Alexander J. Lindsey, Alexander W. Hard, Winthrop B. Phippen","doi":"10.1002/agj2.21691","DOIUrl":"https://doi.org/10.1002/agj2.21691","url":null,"abstract":"<p>This manuscript is a follow-up of previously published results that presented findings on pennycress (<i>Thlaspi arvense</i> L.) establishment and agronomics in response to previous corn (<i>Zea mays</i> L.) relative maturity (CRM) hybrids grown for grain and silage in the corn–pennycress–soybean [<i>Glycine m</i>ax (L.)] rotations. In this manuscript, we compared the economics of grain corn–pennycress–soybean rotations (grain rotation) with silage corn–pennycress–soybean rotations (silage rotation). The treatments were CRM hybrids ranging from 76 to 95 days (full season) at northern sites (Morris and Rosemount, MN) and 95 to 113 days (full season) at southern sites (Lexington, IL, and Custar, OH). Full-season corn harvested for silage was included as a control treatment representing optimum conditions for sowing pennycress. A partial budget procedure was used for economic analysis. The results showed that the annualized net benefits (ANBs) ranged from $315 to $945 ha<sup>−1</sup>. The silage rotation produced greater ANBs than the grain rotation at all sites due to increased pennycress seed yield. In the grain rotation, the 105 days in the south, 95 days corn at Morris, and 86 days corn at Rosemount resulted in minimal ANB losses compared with silage rotation. Among grain corn treatments, some of the early CRM hybrids resulted in greater ANBs (up to 40%) than the full season hybrid. Results demonstrate potential to integrate pennycress into a grain rotation using early CRM hybrids. In addition, valuing the diverse ecosystem benefits that pennycress offers as a cash cover crop during the offseason between corn and soybean rotation may help to attract growers.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"116 6","pages":"3171-3180"},"PeriodicalIF":2.0,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammad Mahdi Majidi, Fatemeh Pirnajmedin, Soheila Espanani
{"title":"Wild introgression as an effective tool for aiding the expansion and adaptation of cultivated safflower","authors":"Mohammad Mahdi Majidi, Fatemeh Pirnajmedin, Soheila Espanani","doi":"10.1002/agj2.21693","DOIUrl":"https://doi.org/10.1002/agj2.21693","url":null,"abstract":"<p>Safflower is a multipurpose crop grown in different regions, mainly for its high oil quality. Crop wild relatives serve as a valuable reservoir of genes that have been depleted due to evolutionary bottlenecks, which are poorly applied in safflower. During the last decade, we developed three populations from hybridization of safflower with its wild relatives and selected the superior lines to develop new varieties. From each of three different interspecific populations (TP: <i>Carthamus tinctorius</i> × <i>Carthamus palaestinus</i>, PO: <i>C. palaestinus</i> × <i>Carthamus oxyacantha</i>, and TO: <i>C. tinctorius</i> × <i>C. oxyacantha</i>), 10 genotypes were selected (a total of 30 lines) in the “F8” generation and were evaluated along with their parents (T, P, and O) and one control cultivar (Golsfid) at the field during 2019–2022 to assess genetic variation, estimate genetic parameters, and evaluate the stability. Considerable genetic variability for oil, seed yield, and other agronomic traits between and within the interspecific populations suggests the high potential of these new recombinant lines for introducing beneficial alleles. Our results indicated that recombinant inbred lines derived from the hybridization of TP were superior in terms of seed yield, oil content, and stability parameters. The use of stability indices of Wricke, Lin and Binns, Eberhart and Russell, and HMRPGVi, along with the biplot analysis, allowed the identification of preferable and stable safflower genotypes. Moderately high values of heritability were found for yield-related traits. New recombinant lines can be introduced to the safflower gene pool to improve the genetic base of this valuable oil seed crop.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"116 6","pages":"2776-2782"},"PeriodicalIF":2.0,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Savana Denton, Tyson Raper, Darrin Dodds, Chris Main, Lori Duncan, Thomas Mueller
{"title":"Auxin injury on cotton, I: Aerial reflectance data, crop injury, and yield","authors":"Savana Denton, Tyson Raper, Darrin Dodds, Chris Main, Lori Duncan, Thomas Mueller","doi":"10.1002/agj2.21698","DOIUrl":"https://doi.org/10.1002/agj2.21698","url":null,"abstract":"<p>Synthetic auxin herbicide movement onto sensitive cotton (<i>Gossypium hirsutum</i> L.) cultivars has impacted many US cotton hectares. The spatial scope and severity of auxin damage in-season is typically estimated by an agronomist. The use of remote sensing technology has the potential to objectively quantify the spatial scope and severity of auxin damage. Experiments were conducted in 2019, 2020, and 2021 in Grand Junction, TN, to determine: (1) the effect of reflectance data collection timing; (2) the effect of auxin exposure timing; (3) the value of near infrared and red-edge (RE) reflectance versus reflectance within the visible spectrum data; and (4) if/how visual injury relates to aerial reflectance data. Applications of 2,4-D or dicamba were made to susceptible cotton cultivars at 1X, 1/4X, 1/16X, 1/64X, 1/256X, and 1/1024X rates at either matchhead square (MHS) or 2 weeks after first bloom (FB+2WK). Non-treated controls were also included for each application timing. Aerial reflectance data were collected 7, 14, 21, and 28 days after application. Unsupervised classification of images into pixels with and without vegetation did not increase correlations between vegetation indices (VIs) and application rate. Although Vis, which generated the strongest correlations with application rate, visual injury, and relative lint yield, were generally RE based, similar correlations were also noted with visible spectrum VIs. Correlations were greater when auxin injury occurred at MHS than FB+2WK. Results suggest reflectance measured within the visible spectrum can quantify the scope and severity of auxin injury if the injury occurs early during the growing season.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"116 6","pages":"2952-2966"},"PeriodicalIF":2.0,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.21698","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"RGB-based indices for estimating cover crop biomass, nitrogen content, and carbon:nitrogen ratio","authors":"Lucas Rosen, Patrick M. Ewing, Bryan C. Runck","doi":"10.1002/agj2.21657","DOIUrl":"https://doi.org/10.1002/agj2.21657","url":null,"abstract":"<p>Plant cover and biochemical composition are essential parameters for evaluating cover crop management. Destructive sampling or estimates with aerial imagery require substantial labor, time, expertise, or instrumentation cost. Using low-cost consumer and mobile phone cameras to estimate plant canopy coverage and biochemical composition could broaden the use of high-throughput technologies in research and crop management. Here, we estimated canopy development, tissue nitrogen, and biomass of medium red clover (<i>Trifolium pratense</i> L.), a perennial forage legume and common cover crop, using red-green-blue (RGB) indices collected with standard settings in non-standardized field conditions. Pixels were classified as plant or background using combinations of four RGB indices with both unsupervised machine learning and preset thresholds. The excess green minus red (ExGR) index with a preset threshold of zero was the best index and threshold combination. It correctly identified pixels as plant or background 86.25% of the time. This combination also provided accurate estimates of crop growth and quality: Canopy coverage correlated with red clover biomass (<i>R</i><sup>2</sup> = 0.554, root mean square error [RMSE] = 219.29 kg ha<sup>−1</sup>), and ExGR index values of vegetation pixels were highly correlated with clover nitrogen content (<i>R</i><sup>2</sup> = 0.573, RMSE = 3.5 g kg<sup>−1</sup>) and carbon:nitrogen ratio (<i>R</i><sup>2</sup> = 0.574, RMSE = 1.29 g g<sup>−1</sup>). Data collection were simple to implement and stable across imaging conditions. Pending testing across different sensors, sites, and crop species, this method contributes to a growing and open set of decision support tools for agricultural research and management.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"116 6","pages":"3070-3080"},"PeriodicalIF":2.0,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.21657","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alysa Gauci, John Fulton, Scott Shearer, David J. Barker, Elizabeth Hawkins, Alexander J. Lindsey
{"title":"Understanding the limitations of grain yield monitor technology to inform on-farm research","authors":"Alysa Gauci, John Fulton, Scott Shearer, David J. Barker, Elizabeth Hawkins, Alexander J. Lindsey","doi":"10.1002/agj2.21695","DOIUrl":"https://doi.org/10.1002/agj2.21695","url":null,"abstract":"<p>Yield monitoring technology (YM) is a valuable tool to evaluate crop performance in on-farm research (OFR). However, limited information exists on utilizing this technology to accurately inform OFR. The objectives of this study were to evaluate the ability of grain yield monitor mass flow sensors to detect changes in corn (<i>Zea mays</i> L.) yield for different plot lengths, provide a recommended minimum plot length to utilize YM in OFR, and determine if differences in estimating yield existed between YMs. Six treatment lengths that varied in distance of intentional yield differences (7.6, 15.2, 30.5, 61.0, 121.9, and 243.8 m) were created by alternating high-yield (202 kg N/ha application) and low-yield (0 kg N/ha application) plots. A total of four grain YMs with impact-style mass flow sensors were used within two commercially available combines. Yield comparisons were made between the plot combine and YMs to evaluate the accuracy of each technology for detecting the magnitude of yield change across lengths using analysis of variance and exponential regression curves. Results indicated that the mass flow sensors were not sensitive enough to detect quickly changing flow rates for alternating yield changes in small plot lengths. Minimum plot lengths ranged from 43 to 107 m depending on YM. Significant differences were observed between grain YMs from different manufacturers. Future work could evaluate the influence additional crops or smaller yield differences have on the optimum OFR plot length.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"116 6","pages":"3181-3190"},"PeriodicalIF":2.0,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.21695","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}