Crop Science最新文献

{"title":"Review of the biology and management of large patch of warm-season turfgrasses","authors":"S. T. Kreinberg,&nbsp;J. P. Kerns,&nbsp;G. L. Miller,&nbsp;M. D. Richardson,&nbsp;T. N. Spurlock,&nbsp;W. J. Hutchens","doi":"10.1002/csc2.70055","DOIUrl":"https://doi.org/10.1002/csc2.70055","url":null,"abstract":"<p>Large patch (<i>Rhizoctonia solani</i> Kühn: anastomosis group [AG] 2-2) is a destructive disease in warm-season turfgrasses worldwide, particularly zoysiagrass (<i>Zoysia</i> spp.). Developing as an orange or tan color, the disease starts as small, round patches that can eventually progress to several meters in diameter. Large patch results in reduced turfgrass health, loss of turfgrass aesthetics, and playability concerns. There have been many studies conducted on the pathology, development, and management of large patch in turfgrass, yet there are gaps in the literature that must be addressed by the turfgrass community. This review addresses current research needs for large patch on turfgrass, and it also provides a comprehensive summary of all previously published research on the disease. Specifically, the review focuses on the highly sophisticated complex of <i>Rhizoctonia solani</i>, along with the many changes that have occurred with the species complex throughout previous research. This review also highlights the common management methods for large patch, including many cultural practices, but the details of chemical and biological control research are emphasized. The objective of this paper is to provide an intensive review on the completed work for large patch as well as illustrate potential areas that require further research.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70055","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818698","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":"Identifying seed cotton yield and abiotic stress response in cotton (Gossypium hirsutum L.) grown in the Arizona low desert","authors":"Alison L. Thompson,&nbsp;Kelly R. Thorp,&nbsp;Matthew T. Herritt","doi":"10.1002/csc2.70058","DOIUrl":"https://doi.org/10.1002/csc2.70058","url":null,"abstract":"<p>Cotton (<i>Gossypium</i> sp.) is an important natural fiber crop that supports a multi-billion-dollar textile industry worldwide. Improved breeding strategies are needed to develop heat- and drought-tolerant cotton. Six upland cotton entries were grown in the Arizona low desert at the Maricopa Agricultural Center, and seed cotton yields were recorded. Cotton responses to abiotic stressors, including high heat and low soil water content, were estimated from leaf chlorophyll and nitrogen content and chlorophyll fluorescence throughout the growing season. Statistical analysis identified important relationships and temporal patterns between the measured traits within each cotton entry. The data showed that leaf chlorophyll and nitrogen content and chlorophyll fluorescence can indicate degrees of abiotic stress tolerance along with improved seed cotton yields. These results agree with previous reports that low and stable leaf chlorophyll content and increased photochemical efficiency during heat stress are indicators of thermotolerance in cotton. The data also indicate that measurements collected just before and during peak flower are most informative for breeding programs when compared to a control.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70058","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818699","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":"Recovery of five cool-season turfgrasses following long-term ice encasement","authors":"Eric Watkins,&nbsp;Dominic P. Petrella,&nbsp;Trygve Aamlid,&nbsp;Dominic C. Christensen,&nbsp;Sigridur Dalmannsdottir,&nbsp;Andrew P. Hollman,&nbsp;Gary Deters","doi":"10.1002/csc2.70053","DOIUrl":"https://doi.org/10.1002/csc2.70053","url":null,"abstract":"<p>Ice encasement is a major concern for turfgrass managers in cold climates; however, there is a lack of data about both which turfgrasses are best suited for survival under these conditions and the reasons behind the superior recovery of some grasses from long-term ice encasement. In this study, we encased golf course putting greens-height field plots of creeping bentgrass (<i>Agrostis stolonifera</i> L.), velvet bentgrass (<i>Agrostis canina</i> L.), annual bluegrass (<i>Poa annua</i> L. var. <i>reptans</i> Hausskn.), Chewings fescue (<i>Festuca</i>. <i>rubra</i> L. ssp. <i>commutata</i> Gaudin), and slender creeping red fescue (<i>F</i>. <i>rubra</i> L. ssp. <i>littoralis</i> (G. Mey.) Auquier) with ice for 90–120 days with the inclusion of CO₂, O₂, and temperature sensors at 2.5 and 12.5 cm depth to better understand environmental conditions under ice and factors related to winterkill. Velvet bentgrass had the best overall performance and recovery, while annual bluegrass did not survive. Differences in recovery among turfgrass taxa may have been affected by the length of the ice encasement period, higher CO₂ levels (&gt;40,000 ppm), and lower O₂ values, particularly in the second experimental run. During the recovery period in both years, photochemical efficiency values began increasing 5–10 days before percent green cover, suggesting that visual performance of the turf surface is a lagging indicator of recovery. Overall, recovery from ice encasement was annual bluegrass &lt; Chewings fescue &lt; creeping bentgrass = slender creeping red fescue = velvet bentgrass. These results can guide turfgrass managers in making species selection decisions in areas where long-duration ice encasement is a risk.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70053","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143809485","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":"Grain sorghum yield stability as affected by nitrogen fertilizer, tillage, and yield environment","authors":"Augustine K. Obour,&nbsp;Johnathan D. Holman,&nbsp;P. V. V. Prasad,&nbsp;Yared Assefa","doi":"10.1002/csc2.70050","DOIUrl":"https://doi.org/10.1002/csc2.70050","url":null,"abstract":"<p>As climate variability increases across the globe, understanding factors that affect grain sorghum (<i>Sorghum bicolor</i> L. Moench) yield stability is crucial. Limited information is available on the impact of soil management such as tillage and nitrogen rate interaction with weather on yield stability of grain sorghum. The objective of this study was to (1) evaluate the effects of tillage intensity (conventional tillage [CT], no-tillage [NT], and reduced tillage [RT]), nitrogen fertilizer rates, and year on grain sorghum yield and its stability and (2) identify the environmental drivers favoring specific sorghum management practices. This was done by analyzing a long-term study from 1975 to 2022 at Hays, KS, on wheat (W, <i>Triticum aestivum</i> L.)–sorghum (S)–fallow (F) rotation. Yield environments in this study refer to years that were grouped into four (9 or 10 years in each group), based on the average yield obtained in each of these years from this one experimental site. Results of the study indicated that Tillage × Year and N-rate × Year had significant effect on sorghum yields. The number of years (yield environments) that favored one tillage yielding greater than the others split almost equally, that is, 5–6 years for each of the three tillage. Application of fertilizer significantly increased grain sorghum yields in all years, except for four (1976, 1978, 2014, and 2015), compared to the control. Yield stability of grain sorghum evaluated across multiple years was affected by fertilizer rate but not by tillage. In very low-yielding (VLY) years, CT or RT had greater yields compared with NT. In low-yielding (LY) years, NT with &gt;45 kg N ha⁻¹ yielded the greatest. In high-yielding years, tillage had no effect on sorghum yields but applying fertilizer-N increased grain yield. We concluded that an NT system with 45–90 kg N ha⁻¹ will most likely guarantee both high yield and stability across years (LY to very high yielding), except in VLY environment.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143809796","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":"High-energy alfalfa (Medicago sativa L.) developed by recurrent phenotypic selection for nonfiber carbohydrate concentration in stems","authors":"Annie Claessens,&nbsp;Mireille Thériault,&nbsp;Annick Bertrand,&nbsp;Julie Lajeunesse,&nbsp;Solen Rocher,&nbsp;Bill Biligetu","doi":"10.1002/csc2.70054","DOIUrl":"https://doi.org/10.1002/csc2.70054","url":null,"abstract":"<p>In forages, genetic improvement in readily fermentable energy can improve the energy-to-protein balance, thus reducing N losses to the environment. This study aimed to evaluate the effects of recurrent selection targeting high nonfiber carbohydrate (NFC) concentrations in alfalfa stems on nutritive value and biomass yield. Populations developed after one to three cycles of recurrent selection for NFC (NFC1, NFC2, and NFC3) and a control population (NFC0) were evaluated in a field trial at three sites across Canada, and in a greenhouse trial along with the population developed after a fourth cycle of selection for NFC (NFC4). When comparing NFC3 to NFC0, increases in NFC concentration of 14 and 28 g kg⁻¹ dry matter (DM) were observed in field and greenhouse trials, respectively. This increase reached 45 g kg⁻¹ DM for NFC4 compared to NFC0 in the greenhouse trial. Crude protein (CP) concentration was similar among populations in both trials, resulting in an increase in their NFC/CP ratio. Fiber concentrations were lowered, which resulted in an increase in in vitro DM digestibility of more than 10 g kg⁻¹ DM for NFC3 in the field and for NFC4 in the greenhouse trials, as compared with NFC0. None of the selected populations displayed significant annual yield differences. The recurrent phenotypic selection for high stem NFC concentrations is an effective approach to improve alfalfa NFC concentration while increasing its energy-to-protein balance and digestibility, and maintaining its biomass productivity.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70054","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143809486","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":"Yield and climatic parameters in a common bean (Phaseolus vulgaris L.) regional trial","authors":"Winnyfred Amongi,&nbsp;Johan Aparicio,&nbsp;Eric Nduwarugira,&nbsp;Blaise Ndabashinze,&nbsp;Kijana Ruhebuza,&nbsp;Rueben Otsyula,&nbsp;Shamir Misango,&nbsp;Eliezah Kamau,&nbsp;David Karanja,&nbsp;Wincaster Mutuli Makoani,&nbsp;Annuarite Uwera,&nbsp;Shida Nestory,&nbsp;Stanley Nkalubo,&nbsp;Eunice Kesiime,&nbsp;Abel Moges,&nbsp;Kidane Tumsa,&nbsp;Teshale Mamo,&nbsp;Steve Beebe,&nbsp;Clare Mukankusi","doi":"10.1002/csc2.70037","DOIUrl":"https://doi.org/10.1002/csc2.70037","url":null,"abstract":"<p>Understanding patterns of crop response to environmental factors is critical to simulating target environments in selection environments. In early stages of varietal development, breeding lines are usually developed in centralized facilities. Subsequently, testing continues on a broader array of research stations before dissemination to farmers, fields. Such a system is practiced in common bean (<i>Phaseolus vulgaris</i> L.) breeding in East Africa. A regional yield trial called the East Central Africa bean yield trial was distributed in three separate groups that aligned with three breeding pipelines: Andean bush beans (Group 1 or G1), Mesoamerican bush beans (G2), and climbing beans (G3). Forty-three trials met minimal standards of data quality. Trial environments composed of a site, planting date, and its climatic parameters were clustered based on 13 variables of temperature, rainfall, relative humidity, vapor pressure deficit, and altitude. Climatic data were derived from the NASA Prediction of Worldwide Energy Resources (POWER) database, which estimates day-by-day weather for each site. Four climate clusters emerged from this analysis. Climbing bean yield corresponded to climate clusters and heavily responded to high altitude and temperature. Most Andean bush bean environments occupied a centric cluster with few extreme variables. No patterns were observed in the Mesoamerican bush beans. This method should be extended to a larger set of trials and should be used to compare research station environments with farmer production environments.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70037","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143793529","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":"Immediate and second-year effects of preceding crops on wheat production in the Northern Great Plains","authors":"Zhijie Wang,&nbsp;F. Craig Stevenson,&nbsp;Ramona M. Mohr,&nbsp;Christian Willenborg,&nbsp;William E. May,&nbsp;Brian L. Beres","doi":"10.1002/csc2.70047","DOIUrl":"https://doi.org/10.1002/csc2.70047","url":null,"abstract":"<p>Growers in the Northern Great Plains (NGP) are increasingly adopting winter wheat (WW; <i>Triticum aestivum</i> L.) into their crop rotations in years of ideal fall planting conditions due to its high yield potential. Our study evaluated WW responses to rotational crops, soybean (<i>Glycine max</i> L.) and lentil (<i>Lens culinaris</i> L.), field peas (<i>Pisum sativum</i> L.), faba bean (<i>Vicia faba</i> L.), canola (<i>Brassica napus</i> L.), flax (<i>Linum usitatissimum</i> L.), and oats (<i>Avena sativa</i> L.), and to different wheat rotational schemes following the rotational crop: WW-WW, hard red spring wheat (HRSW)-WW, and WW-HRSW. Although canola is traditionally favored for its snow-trapping benefits, soybean and lentil can achieve similar or superior results, enhancing both WW grain yields and protein concentrations when grown immediately after these two rotational crops. These benefits persisted in the second wheat phase in the WW–WW and HRSW–WW systems, albeit with increased variability. Canola stubble, while not offering immediate advantages for WW, contributed to high and stable yields in WW and HRSW when planted in the second year. However, a wheat yield drag was noted in the second year, especially affecting HRSW, indicating that monoculture cereal rotations are more detrimental to HRSW than to WW. In-crop growth patterns aligned with yield responses, with leguminous stubbles, especially lentil, promoting superior in-season growth compared to canola, flax, and oats. This study underscores WW as a viable option for cereal phases in the NGP cropping systems, contributing to enhanced ecological benefits in the local environment. By adopting WW in their cropping systems, growers can accrue synergistic benefits with multiple rotational crops.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70047","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801302","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":"Genetic mapping of resistance to Fusarium head blight in soft red winter wheat line NC13-20076","authors":"Z. J. Winn,&nbsp;R. Acharya,&nbsp;B. Ward,&nbsp;J. Lyerly,&nbsp;C. Griffey,&nbsp;J. Fitzgerald,&nbsp;Y. Dong,&nbsp;C. Cowger,&nbsp;J. P. Murphy,&nbsp;G. Brown-Guedira","doi":"10.1002/csc2.70022","DOIUrl":"https://doi.org/10.1002/csc2.70022","url":null,"abstract":"<p><i>Fusarium</i> head blight (FHB) infection causes yield loss, quality degradation, and the production of damaging mycotoxins in common wheat (<i>Triticum aestivum</i> L). Marker analysis suggests that NC13-20076 does not possess previously identified FHB resistance quantitative trait loci (QTL) screened for in eastern winter wheat germplasm. A doubled haploid population of 168 lines from the cross of GA06493-13LE6 and NC13-20076 was phenotyped in inoculated nurseries in six environments. Heading date, plant height, and visual ratings of <i>Fusarium</i> damage on heads were recorded in the field; percent <i>Fusarium</i> damaged kernels (FDK) and deoxynivalenol (DON) accumulation were recorded post-harvest. Interval and multiple QTL mapping were performed on each environment-by-trait combination. Plant height and heading date QTL were identified on chromosomes 4A, 5A, 6A, and 7B, and peak markers were used as covariates in mapping of disease response traits. Disease response QTL were identified on chromosomes 1A, 2A, 2B, 3A, 3B, 4A, 5A, 7A, and 7D. The largest percent variance (PV) QTL identified for FHB visual ratings (10.8%) and DON accumulation (10.1%) were found on chromosome 5A (<i>QFvr.nc-5A</i>, <i>QDon.nc-5A</i>). The largest PV (10.3%) QTL identified for FDK were found on 1A (<i>QFdk.nc-1A</i>). Disease response QTL for multi-environment scans of visual ratings, FDK, and DON accumulation accounted for 4.0%–10.8%, 4.1%–10.3%, and 4.9%–10.1% of the total variance, respectively. The present results indicate that NC13-20076 contains several FHB response QTL, which overlap with previously identified QTL and demonstrate the importance of NC13-20076 as a readily accessible source of FHB resistance.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143787175","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":"Sward responses of rhizoma peanut–bahiagrass mixtures and bahiagrass monocultures in contrasting on-farm environments","authors":"Luana M. D. Queiroz,&nbsp;Jose C. B. Dubeux Jr.,&nbsp;Lynn E. Sollenberger,&nbsp;Joao M. B. Vendramini,&nbsp;Hui-ling Liao,&nbsp;Cheryl L. Mackowiak,&nbsp;Edzard van Santen,&nbsp;David M. Jaramillo,&nbsp;Erick R. S. Santos,&nbsp;Liza Garcia,&nbsp;Hiran M. S. Silva,&nbsp;Bruno G. C. Homem,&nbsp;Adesuwa S. Erhunmwunse,&nbsp;Martin Ruiz-Moreno","doi":"10.1002/csc2.70049","DOIUrl":"https://doi.org/10.1002/csc2.70049","url":null,"abstract":"<p>Incorporating forage legumes into grass swards has the potential to enhance the sustainability of pasture systems and reduce reliance on nitrogen fertilizers. The aim of this study was to assess the on-farm performance of bahiagrass (BG; <i>Paspalum notatum</i> Flüggé)–rhizoma peanut (RP; <i>Arachis glabrata</i> Benth.) mixtures compared to BG monocultures in three diverse environments across Florida. Three forage treatments were employed at all locations: BG in monoculture (Bh), BG + Ecoturf RP (Eco), and BG + Florigraze RP (Flo). Significantly greater herbage accumulation rates were observed for BG + Ecoturf RP (37 kg DM ha⁻¹ day⁻¹, where DM is the dry matter) and BG with Florigraze RP (35 kg DM ha⁻¹ day⁻¹) in comparison with BG in monoculture (30 kg DM ha⁻¹ day⁻¹). Crude protein and in vitro digestible organic matter concentrations were greater for RP binary mixtures compared with monoculture BG across all locations. In North and South Florida, BG + Ecoturf RP exhibited greater RP belowground biomass than BG + Florigraze RP. Additionally, biological N₂ fixation increased linearly as the proportion of RP increased. Integration of RP germplasm Ecoturf and the Florigraze cultivar into BG pastures in North, Central, and South Florida led to increased rates of herbage accumulation and improved herbage nutritive value compared to BG monoculture. Overall, North and South Florida exhibited more favorable responses to the inclusion of RP compared to Central Florida.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143770166","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":"Exploring the genomic diversity and breeding applications of the Solanum sessiliflorum transcriptome via phylogenetic analysis","authors":"Priscila O. Silva,&nbsp;Lucas Eduardo R. Silva,&nbsp;Débora G. Gouveia,&nbsp;Priscila M. Rodrigues,&nbsp;José Francisco C. Gonçalves,&nbsp;Adriano Nunes-Nesi,&nbsp;Wagner L. Araújo,&nbsp;João Henrique F. Cavalcanti","doi":"10.1002/csc2.70036","DOIUrl":"https://doi.org/10.1002/csc2.70036","url":null,"abstract":"<p>Compelling evidence supports the potential application of wild crop relatives in <i>Solanum</i> breeding. Efforts have been made to generate genomic data from wild <i>Solanum</i> plants to assess the insertion of advantageous traits into crop species. South America hosts a broad range of plants that have not been widely evaluated at the molecular level. <i>Solanum sessiliflorum</i> is a wild species that shows tolerance to <i>Ralstonia solanacearum</i> and nematode infections. The Illumina platform was used to construct the transcriptome of <i>S. sessiliflorum</i>. The data were analyzed using bioinformatics tools for both phylogenetic comparison and bioprospecting of disease-related genes. Our leaf transcriptome assembly of <i>S. sessiliflorum</i> enables phylogenetic comparisons and stress-tolerant gene bioprospecting. De novo assembly generated 114,184 unigenes. A comparison of the <i>S. sessiliflorum</i> unigene dataset with other <i>Solanum</i> nucleotide genomic resources revealed greater similarity with <i>Solanum tuberosum</i> than with <i>Solanum melongena</i>. Additionally, <i>S. sessiliflorum</i> within the <i>Leptostemonum</i> group, along with <i>S. melongena</i>, possesses features related to <i>Solanum</i> clade evolution. Bioprospection of disease response targets identified 122 potential candidate unigenes retrieved from the <i>S. sessiliflorum</i> dataset. The abundant expression of fragments of disease-related and hormonal defense genes appears to constitute a housekeeping mechanism to avoid pathogen attacks on leaves. In total, 1091 unigenes were classified as transcription factors (TFs), with a large number of TFs associated with biotic resilience. These results highlight the potential for exploring the genomic diversity of <i>S. sessiliflorum</i>, which will be useful for applications in breeding programs.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70036","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143770401","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}