Agronomy Journal最新文献

{"title":"Long-term evaluation of organic management of durum wheat in Central Italy","authors":"Daniele Antichi,&nbsp;Silvia Pampana,&nbsp;Massimo Sbrana,&nbsp;Lorenzo Gabriele Tramacere,&nbsp;Marco Mazzoncini,&nbsp;Stefano Carlesi,&nbsp;Paolo Bàrberi","doi":"10.1002/agj2.70026","DOIUrl":"https://doi.org/10.1002/agj2.70026","url":null,"abstract":"<p>Italy is the most important European producer of organic (ORG) durum wheat [<i>Triticum turgidum</i> spp. <i>durum</i> (Desf.) Husn.]. Growth and yield of durum wheat are affected by weather conditions and by management systems (MS). The objective of this research was to determine the long-term impact of two different MS (ORG and conventional [CON]) and their interactions with weather conditions on durum wheat yields. The study was part of a long-term experiment in Pisa, Italy, comparing crop performance in a 5-year rainfed rotation (i.e., sugar beet [<i>Beta vulgaris</i> L. var. <i>saccharifera</i>] or maize [<i>Zea mays</i> L.] followed by common wheat [<i>T. aestivum</i> L. subsp. <i>aestivum</i> emend. Thell.], sunflower [<i>Helianthus annuus</i> L.], faba bean [<i>Vicia faba</i> L. var. <i>minor</i>], and durum wheat) over 15 years under ORG and CON MS. Durum wheat yields were 37% lower under ORG compared to CON on average, though similar yields were produced across the two systems during one of the 5-year cycles. There was a significant interaction between MS and climatic conditions for yield and yield components. A lower number of spikes per m² was observed in ORG wheat compared to CON, thus spotlighting on likely different soil N availability in the two MS at the double ridge stage. ORG management resulted in weed biomass increases over time, with 400% higher weed biomass under ORG by the end of the research period. The high interannual variability across both MS confirms that multi-year studies are needed to demonstrate the relative productivity of ORG versus CON MS.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.70026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527706","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":"Integrated effects of tillage, fertilizer sources and a rye cover crop on dryland cotton production","authors":"Ardeshir Adeli,&nbsp;John P. Brooks,&nbsp;Dana Miles,&nbsp;Quentin Read,&nbsp;Yanbo Haung,&nbsp;Gary Feng,&nbsp;Johnie N. Jenkins","doi":"10.1002/agj2.70019","DOIUrl":"https://doi.org/10.1002/agj2.70019","url":null,"abstract":"<p>Implementing an integrated system of reduced tillage and cover cropping holds promising potential for enhancing cotton (<i>Gossypium hirsutum</i> L.) production in the southeast, where soils are eroded and low in organic matter. A 4-year field study was conducted on a Leeper silty clay loam at the Plant Science Center at Mississippi State University to investigate the combined effects of no-till (NT) and conventional tillage (CT), with applied broiler litter (BL) and inorganic N fertilizer, in the presence of winter cover crops (WCCs) and absence of cover crops on cotton growth and yield. With WCC residues, NT had the greatest soil moisture in the drier year of 2022. Total aboveground biomass of WCC and nitrogen (N) accumulation were 72% and 60% greater in the 2019/2020 growing season than in the 2020/2021 and 2021/2022, and they were 24% and 22% greater with CT than NT. However, cotton dry matter (DM) was 22% greater with NT than CT. With WCC residues, cotton DM, N uptake, and leaf area index were greater by 25%, 21%, and 64%, respectively. Regardless of tillage and cropping systems, BL in the presence of WCC residues increased cotton lint yield by 67%, especially in years with less rainfall during cotton peak blooming and boll formation. This study revealed that the integration of NT with BL and inorganic N fertilizer in the presence of a cover crop can have a positive effect on cotton production. Implementing these practices could enhance long-term sustainable cotton cultivation in southeastern United States agroecosystems.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527705","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}

{"title":"Effects of wheat and faba bean intercropping on yield, land-use efficiency and economic revenue in semi-arid areas","authors":"Tesfay Gidey,&nbsp;Emiru Birhane,&nbsp;Daniel Hagos Berhe,&nbsp;Ashenafi Manaye,&nbsp;Negasi Solomon,&nbsp;Yirga Gufi,&nbsp;Aklilu Negussie,&nbsp;Tânia Sofia Oliveira,&nbsp;Joao H. N. Palma,&nbsp;Petr Maděra,&nbsp;Jose G. Borges","doi":"10.1002/agj2.70031","DOIUrl":"https://doi.org/10.1002/agj2.70031","url":null,"abstract":"<p>Intercropping faba bean and wheat in semi-arid areas is a promising agricultural practice that has the potential to enhance crop yields and economic benefits. Farmers commonly use this practice in semi-arid regions of Ethiopia. Yet there is limited information on grain yield and economic advantages of faba bean (<i>Vicia faba</i> L.) and wheat (<i>Triticum aestivum</i> L.) intercropping systems. This study aimed to determine the effects of faba bean intercrops with wheat varieties at different seeding rates on grain yield, economic revenue, and land-use efficiency. The study was conducted in 2013 and 2014 at Mekelle Agricultural Research Centre, northern Ethiopia (Latitude 13° 30′ 00ʺ N, Longitude 39° 28′ 11ʺ E, and elevation 1970 m). The study considered three wheat varieties (Shehan, HAR 2501, and Mekelle 01) at three seeding rates (25%, 50%, and 75%) of the recommended sole wheat seeding rate of 150 kg ha⁻¹ intercropped with faba bean at 250,000 plants ha⁻¹. Sole cropping of each wheat variety and faba bean at the recommended seeding rates served as controls. Faba bean intercropped with the wheat HAR 2501 variety at a 75% seeding rate increased the total grain yield, economic revenue, and land equivalent ratio (LER) by 39%, 17%, and 50%, respectively, over the sole faba bean. The study suggests that intercropping faba bean and wheat can be a sustainable farming practice to enhance crop grain yield and land-use productivity in semi-arid areas.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143513850","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}

{"title":"Weed emergence patterns as affected by topsoil movement within an eroded landform","authors":"Sharon K. Schneider,&nbsp;Apurba K. Sutradhar,&nbsp;Robert H. Gulden","doi":"10.1002/agj2.70029","DOIUrl":"https://doi.org/10.1002/agj2.70029","url":null,"abstract":"<p>Soil erosion significantly affects within-field soil properties, crop productivity, weed emergence patterns, and weed growth. Spatial variability in weed densities, emergence timing, weed seed production, seed viability, herbicide bioavailability, and other factors complicate weed management strategies in eroded landscapes. Reversing soil erosion by replacing translocated topsoil (soil-landscape rehabilitation) is one method to improve crop productivity of severely eroded land, but bulk soil movement changes soil properties and weed seedbanks that influence weed spatial distribution patterns, emergence, and growth. We evaluated weed community responses to soil movement within a hilly landform. Soil-landscape rehabilitation was performed by moving 15–20 cm of accumulated topsoil from the lower slope and adding it to the upper slope positions (areas of net soil loss by erosion). Adjacent plots were left in their eroded condition. Weed density and species richness were monitored for 4 years. Annual grasses dominated the weed community in the upper slope, and weed abundance was highest in the most eroded landscape positions. Soil addition improved soil characteristics for crop growth but did not increase weed densities. The density of weeds was lower where soil was removed in the first 2 years after soil movement, likely through removal of weed seeds with soil. Within 3 years of soil movement, weed abundance and species richness were the same or lower in areas of soil removal and no soil removal. In these experiments, movement of soil (and entrained weed seeds) within an eroded landform to improve productivity did not exacerbate weed issues.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.70029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143497062","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":"Soil test phosphorus predicts field-level but not subfield-level corn yield response","authors":"Vaughn Reed,&nbsp;Jenni Fridgen,&nbsp;Bronc Finch,&nbsp;John Spargo,&nbsp;Josh McGrath,&nbsp;James M. Bowen,&nbsp;Gene Hahn,&nbsp;Douglas Smith,&nbsp;Edwin Ritchey","doi":"10.1002/agj2.70028","DOIUrl":"https://doi.org/10.1002/agj2.70028","url":null,"abstract":"<p>Soil test-based fertilizer recommendations traditionally serve to predict average nutrient needs across fields, but their effectiveness for precision agriculture remains uncertain. Our objectives were to evaluate whether soil phosphorus (P) concentrations predicted corn (<i>Zea mays</i>,r L.) yield response to P at the sub-field level, and to determine if soil test critical levels varied within field boundaries. We conducted research over seven growing seasons at two Kentucky sites collecting spatially dense yield response data from over 150 paired plots per field. Mehlich 3 extractable phosphorus (M3P) soil ranged from 0.8 to 63 mg kg⁻¹, with 96% of sample points falling below the University of Kentucky's fertilizer cutoff of 30 mg kg⁻¹ M3P for corn. Each plot (10⁻² ha) received 0 or 29.5 kg ha⁻¹ P. While M3P effectively predicted average field-level response, with yield increases in five of seven site-years, it failed to predict subfield responses, where only 51% of plots showed positive yield response to P application. Linear plateau models revealed that conventional statistical treatments of soil test correlation data mask important subfield variability. The poor relationship between soil test P and yield response at the subfield scale suggests that variable rate P management requires incorporating additional factors beyond soil P concentration or moving away from such deterministic models toward probabilistic models. Our findings demonstrate that while current soil test recommendations provide accurate field-scale guidance, they lack the precision required for variable rate application.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.70028","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143475782","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":"Using soybean historical field trial data to study genotype by environment variation and identify mega-environments with the integration of genetic and non-genetic factors","authors":"Matheus D. Krause,&nbsp;Kaio Olimpio G. Dias,&nbsp;Asheesh K. Singh,&nbsp;William D. Beavis","doi":"10.1002/agj2.70023","DOIUrl":"https://doi.org/10.1002/agj2.70023","url":null,"abstract":"<p>Soybean [<i>Glycine max</i> (L.) Merr.] provides plant-based protein for global food production and is extensively bred to create cultivars with greater productivity in distinct environments through multi-environment trials (MET). The application of MET assumes that trial locations provide representative environmental conditions that cultivars are likely to encounter when grown by farmers. A retrospective analysis of MET data spanning 63 locations between 1989 and 2019 was conducted to identify mega-environments (ME) for soybean seed yield in the primary production areas of North America. ME were identified using data from phenotypic values, geographic, soil, and meteorological records at the trial locations. Results indicate that yield variation was mostly explained by location and location by year interaction. The phenotypic variation due to genotype by location interaction effects was greater than genotype by year interaction effects. The static portion of the genotype by environment interaction variance represented 26.30% of its total variation. The observed locations sampled from the target population of environments can be divided into two or three ME, thereby suggesting that improvements in the response to selection can be achieved when selecting directly within clusters (i.e., regions and ME) versus selecting across all locations. In addition, we published the <span>R</span> package <span>SoyURT</span> that contains the datasets used in this work.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.70023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143446963","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":"Does splitting the nitrogen rate for corn (Zea mays) reduce the carbon dioxide equivalence?","authors":"Skye Brugler,&nbsp;David E. Clay,&nbsp;Deepak Joshi,&nbsp;Donna M. Rizzo,&nbsp;Sharon A. Clay,&nbsp;Thandi Nleya,&nbsp;Gary Hatfield","doi":"10.1002/agj2.70025","DOIUrl":"https://doi.org/10.1002/agj2.70025","url":null,"abstract":"<p>Splitting N fertilizer application between the corn (<i>Zea mays</i>) plants pre-emergence and vegetative growth stage has the potential to reduce N losses while increasing N use efficiency. However, there are few published reports that show that splitting fertilizer reduces greenhouse gas emissions. Therefore, this study compared the CO_2e (carbon dioxide equivalent) calculated from N₂O-N and CO₂-C emissions from a single pre-emergence application of 157 kg urea- N ha⁻¹ with a nonfertilized control and two applications of 78.5 kg urea-N ha⁻¹ that were applied at pre-emergence and at the corn plants V6 growth stage. Over three growing seasons (2021, 2022, and 2023), soil temperature, moisture, N₂O-N and CO₂-C emissions were measured six times per day from when the urea was applied to harvest. N₂O-N and CO₂-C emissions were separated into pre-split and post-split periods, and carbon dioxide equivalence was calculated. Splitting the N rate: (1) increased N₂O-N emissions in 2021 and 2022; (2) reduced CO₂-C emissions during the post-split period in 2022 and 2023; and (3) did not influence total CO_2e in 2021 and reduced CO_2e emissions in 2022 and 2023. Based on these results, splitting the N fertilizer rate between pre-emergence and the corn plants V6 growth stage should be considered as a potential climate smart practice.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.70025","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143423997","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":"Multispectral red-edge indices accurately estimate nitrogen content in winter cereal cover crops","authors":"A. Thieme,&nbsp;J. Jennewein,&nbsp;W. D. Hively,&nbsp;B. T. Lamb,&nbsp;A. K. Whitcraft,&nbsp;S. B. Mirsky,&nbsp;S. C. Reberg-Horton,&nbsp;C. Justice","doi":"10.1002/agj2.70011","DOIUrl":"https://doi.org/10.1002/agj2.70011","url":null,"abstract":"<p>Winter cover crops reduce erosion and nutrient runoff from agricultural systems. Although cereal cover crops can decrease field nitrate leaching by 50%–95%, the magnitude of this reduction varies within and between fields, making it challenging to monitor the impact of cover crops on nitrate leaching at large spatial extents. Satellite remote sensing using red-edge bands has been shown to effectively estimate crop nitrogen (N) content (kg ha⁻¹) in later growth-stage crops with a closed canopy. In this study, we evaluated 15 spectral indices derived from Sentinel-2 imagery to estimate N concentration (%) and content (kg ha⁻¹) of cereal cover crops, using 1627 destructive samples collected from 2018 to 2023 in Maryland. Observed N content ranged from 0.1 to 214.7 kg ha⁻¹, while N concentration ranged from 0.6% to 5.5%. The 15 indices considered were poor predictors of N concentration (adj. <i>R</i>² = 0.089, root mean squared error [RMSE] = 0.802%), but were more successful at measuring N content (biomass × N concentration). Delta red-edge (ΔRE) was the best predictor of N content (adj. <i>R</i>² = 0.748, RMSE = 13.10 kg ha⁻¹ from cross-validation with 80% train and 20% test splits iterated 100 times) using samples with imagery collected within ±4 days of destructive sampling (<i>n </i>= 1110). Our findings indicate that longer red-edge wavelengths (783 and 740 nm) are more suited for estimating N content in cereal cover crops compared to shorter red-edge wavelengths, which have been shown to be more sensitive to biomass. Leave-one-year-out cross-validation demonstrated that the relationship between ΔRE and N content was robust across all four cover crop sampling years included in the study (adj. <i>R</i>² = 0.700–0.769, RMSE = 10.70–15.40 kg ha⁻¹). Regression model performance improved with the addition of multiple predictors, including biomass (estimated from Normalized Difference Vegetation Index), weather variables (adj. <i>R</i>²= 0.765, RMSE = 12.37 kg ha⁻¹), management variables (species, season, adj. <i>R</i>²= 0.772, and RMSE = 12.13 kg ha⁻¹), and biophysical variables (height, fractional ground cover, adj. <i>R</i>²= 0.818, and RMSE = 10.29 kg ha⁻¹). These findings demonstrate the feasibility of quantifying N content in cereal cover crops using a red-edge-based spectral index across large geographic extents and indicate the inclusion of additional predictors, such as weather and management data, improves model accuracy. This work has implications for quantifying reductions in N leaching associated with cover crops, aiding in policymaking and evaluation of conservation programs that impact water bodies such as Chesapeake Bay.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.70011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143424001","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":"Historical changes and yield in the Ohio corn performance test: A 50-year summary","authors":"Jhonata Cantuaria Medeiros,&nbsp;Jean Zavala,&nbsp;Mohsen Shahrokhi,&nbsp;Richard Minyo,&nbsp;Allen Geyer,&nbsp;Alexander Lindsey,&nbsp;Peter Thomison,&nbsp;Osler Ortez","doi":"10.1002/agj2.21746","DOIUrl":"https://doi.org/10.1002/agj2.21746","url":null,"abstract":"<p>Reaching production potential, crop quality, and profitability are pivotal goals across cropping systems. The Ohio corn performance test (OCPT) has deployed research approaches in the last 50 years. Partnerships between Ohio State University, seed companies, and cooperating farmers have tested commercially available corn (<i>Zea mays</i> L.) hybrids across several locations in the state. This work aims to identify historical changes in agronomic characteristics, environmental factors, crop management, and their association with crop productivity and gross income over 50 years. Yield improvements were observed, from 9.34 (1972–1981) to 14.78 (2012–2021) Mg ha⁻¹. Adopting management practices such as crop rotation and soil conservation practices (e.g., minimum till, no-till, and stale seedbed) accompanied production improvements. Our results showed that seeding rate, seedling emergence, and final stands had strong correlations with yield (81%, 64%, and 82%). Regions with better weather conditions (i.e., more precipitation, higher average temperatures, lower wind speed) also had strong correlations with yield; the central region had the highest average yield. In this 50-year dataset, OCPT yields represented gross income values 40% higher compared to the average for the state of Ohio during the same period. This study indicates that yield improvements in the corn performance test have been achieved through synergistic changes in new hybrids, key management practices, and coupled with suitable growing environments. Our work reaffirms that selecting hybrids that are best adapted to specific growing environments is a primary factor in achieving high yields and profits at the farm level.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.21746","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143396992","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":"Enhancing population and family selection accuracy with statistical genetics models accounting for epistatic effects for wheat breeding","authors":"Rafael Tobias Lang Fronza,&nbsp;Henrique Caletti Mezzomo,&nbsp;Cláudio Vieira Batista,&nbsp;Estéfano Moresco,&nbsp;Kaio Olimpio das Graças Dias,&nbsp;Maicon Nardino","doi":"10.1002/agj2.70024","DOIUrl":"https://doi.org/10.1002/agj2.70024","url":null,"abstract":"<p>Few studies have investigated the effect on the genotypic value of wheat (<i>Triticum aestivum</i> L.) families with the adoption of the additive and epistatic (additive × additive) relationship matrix. The objective of this study is to select F_2:3 families of wheat by means of three statistical genetics models (without pedigree information, additive, and additive plus additive × additive epistatic) and to evaluate the selection rank between the traditional model and the model with best fit of families for recombination and for deriving progenies. The experiment was composed of a total of 880 F_2:3 families of tropical wheat, from 56 populations conducted by the genealogical method, which came from a full diallel involving the cultivars BRS 254, BRS 264, and BRS 394, CD 1303, Tbio Aton, Tbio Ponteiro, Tbio Duque, and Tbio Sossego. The pedigree matrix was calculated, obtaining approximately 20 generations of ancestry of the parents. The data were analyzed in three genetic-statistical models: Model 1—without information on family relationship; Model 2—computing the additive relationship matrix; and Model 3—including the additive and epistatic (additive × additive) relationship matrix. Using the additive and epistatic (additive × additive) pedigree matrix has a significant effect on most traits. The selection revealed families of populations with potential to be used in recombinations: BRS 254/CD 1303, Tbio Ponteiro/BRS 394, and BRS 394/Tbio Ponteiro, with genetic value to derive progenies: BRS 254/Tbio Aton, Tbio Aton/Tbio Duque, and BRS 394/Tbio Aton, and with both attributes: BRS 254/CD 1303, BRS 394/Tbio Ponteiro, and Tbio Sossego/BRS 264.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143389133","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}