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Research Articles

Heritability, Correlation, and Path Analysis for Selecting Superior Purple Winged Bean Genotypes (Psophocarpus tetragonolobus L.)
Izmi Yulianah, Arif Muhammad Fauzy, Aji Bimantoro, Beatrix Avista Tyas Pramuadi, Amrul Mubarok, Kuswanto
Plant Breed. Biotech. 2026;14:88-100.
Published online April 22, 2026
DOI: https://doi.org/10.9787/PBB.2026.14.88

Winged bean (Psophocarpus tetragonolobus L.) is a nutrient-rich tropical legume with considerable potential to improve food security in tropical regions. However, breeding programs for purple-podded winged bean remain limited due to insufficient information on key genetic parameters. This study aimed to assess heritability, expected genetic gain, trait correlations, and path analysis in advanced purple-podded winged bean lines. Ten breeding lines derived from crosses of Indonesian landraces were evaluated using a randomized complete block design with three replications. Traits observed included days to flowering, days to harvest, fruit set, pod width, pod length, pod weight, pod weight per plant, number of seeds per pod, and yield potential. The results revealed high broad-sense heritability (>0.5) for all traits, with the highest values observed for pod length (0.96), pod width (0.95), and fruit set (0.90). Expected genetic gain was highest for fruit set (35.20%), pod weight per plant (34.44%), and yield potential (34.44%). Correlation analysis indicated strong positive relationships between days to flowering and days to harvest (r = 0.90), while yield potential showed a perfect correlation with pod weight per plant (r = 1.00). Path analysis revealed positive direct effects of fruit set (0.478) and pod weight (0.310) on pod weight per plant, whereas number of seeds per pod had a negative direct effect (-0.429). Genotypes MNN 1122 and PLB 2324 exhibited the highest yield potentials (8.58 and 7.63 t ha-1, respectively). These findings provide important genetic insights for the development of high-yielding purple-podded winged bean varieties.

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Correlation and Path Analysis of Association among Yield, Micronutrients, and Protein Content in Rice Accessions Grown Under Aerobic Condition from Karnataka, India
Nguyen Phuong Thuy, Nguyen Ngoc Trai, Bui Dang Khoa, Nguyen Hoang Xuan Thao, Vuong Tuan Phong, Quach Van Cao Thi
Plant Breed. Biotech. 2023;11(2):117-129.   Published online June 1, 2023
DOI: https://doi.org/10.9787/PBB.2023.11.2.117

Genetic variability and correlation analysis are fundamental references for the innovative development of breeding programs to improve varieties and desirable traits. In the present study, the correlation and path analysis was conducted to understand the association among yield, micronutrients (iron and zinc), and protein content under aerobic conditions in local rice landraces from various agro ecological regions of Karnataka, India. The grain yield per plant showed a significant positive correlation with plant height, the tiller number, spikelet fertility, flag leaf length, and test weight. The zinc content was negatively correlated with grain yield per plant. The phenotypic path-coefficient analysis revealed that the total number of tillers, grain length, test weight, and harvest index exhibited a positive direct effect on grain yield per plant, while Grain protein content showed a low direct effect on this trait. This study also indicated that harvest index, flag leaf length, spikelet fertility, and test weight could be considered to make for a higher yield.

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  • Deciphering Genetic Variability, Correlation and Path Analysis for Yield and Yield Related Traits in Early Rice (Oryza sativa) Genotypes Under the Direct-Seeded Rice (DSR) System
    Shravan Kumar Singh, Vivekanand Sirohi, Ritik Digamber Bisane, Vemula Anjula Krishna, Amrit Prasad Poudel, Akansha Singh
    Agricultural Research.2026; 15(2): 706.     CrossRef
  • Characterization of Iranian rice genetic resources for key grain quality traits
    Mostafa Modarresi
    Genetic Resources.2026; 7(13): 153.     CrossRef
  • Genetic variability, heritability and genetic advance in Iranian local rice genotypes for yield, and some agronomic traits
    Mostafa Modarresi
    Reproduction and Breeding.2026; 6(1): 9.     CrossRef
  • A new approach for evaluating maize transgressive segregants and their three-way cross potential in the S4 convergent breeding population
    Nuniek Widiayani, Muhammad Fuad Anshori, Nasaruddin Nasaruddin, Muh Farid, Ifayanti Ridwan, Abd. Haris Bahrun, Muhammad Azrai, Amin Nur, Purnama Isti Khaerani, Willy Bayuardi Suwarno, Karlina Syahruddin, Naeem Khan, Majed A. Alotaibi, Mahmoud F. Seleiman
    BMC Plant Biology.2025;[Epub]     CrossRef
  • Agronomic performance of advanced double haploid elite rice ( Oryza sativa ) lines in Estuaire, Gabon
    Yonnelle Dea Moukoumbi, Esther Pegalepo, Mouritala Sikirou, Julia Edoxie Olong Obiang, Roland Bocco, Romaric Avou Tsoboua, Adote Herve Gildas Akueson, Yedomon Ange Bovys Zoclanclounon, Moussa Sie
    Cogent Food & Agriculture.2025;[Epub]     CrossRef
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Estimation of Heritability and Association Analysis of Agronomic Traits Contributing to Yield on Upland Rice (Oryza sativa L.)
Dewi Nawank Sary, Lailatul Badriyah, Ricoh Darisman Sihombing, Thoriq Ahmad Syauqy, Eries Dyah Mustikarini, Gigih Ibnu Prayoga, Ratna Santi, Budi Waluyo
Plant Breed. Biotech. 2022;10(4):232-243.   Published online December 1, 2022
DOI: https://doi.org/10.9787/PBB.2022.10.4.232

Rice (Oryza sativa L.) is an important commodity with a major influence on the country's economy. Plant breeding activities must be conducted to develop high-yielding potential genotypes with desired agronomic traits. The purpose of this research is to study the heritability and coheritability of agronomic traits as well as to study the direct and indirect effects through genotypic and phenotypic correlations among agronomic traits contributing to yield on genotypes of rice. The research was carried out from March to July 2022 at the Experimental Field of the Faculty of Agriculture, Brawijaya University, Jatimulyo, Lowokwaru, Malang, East Java. Ten genotypes of rice were used as genetic materials. The research used a Randomized Block Design (RBD) method with 3 replications. Data were analyzed using analysis of variance, analysis of covariance, and path analysis. The results revealed that there were very significant differences among upland rice genotypes for all observed traits. All observed agronomic traits had high heritability estimates. Plant height with time of inflorescence emergence had the highest coheritability, and flag leaf length with yield per plot had the lowest coheritability. The traits of the number of spikelets per panicle and weight of milled dry grains positively correlated with yield. Weight of milled dry grains had the highest positive direct effect through genotypic correlation and phenotypic correlation with yield.

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  • Development of Hybrid Pleurotus cystidiosus Strains with Enhanced Functional Properties
    Sung-I Woo, Minji Oh, Hak Hyun Lee, Inseo Song, Se Jeong Kim, Youn-Lee Oh, Ji-Hoon Im, Eun-Ji Lee, Mi Kyeong Lee
    Foods.2025; 14(24): 4329.     CrossRef
  • Comprehensive evaluation of nitrogen fertilization impact on early maturing rice varieties using multivariate analysis and vegetation indices
    Yunus Musa, Rusnadi Padjung, Nasaruddin Nasaruddin, Muh Farid, Andang Suryana Soma, Achmad Kautsar Baharuddin, Muh. Fikri Al Qautzar, Resky Maulidina Fakhri, Madonna Casimero, Amin Nur, Mahmoud F. Seleiman, Majed Alotaibi, Nawab Ali, Muhammad Fuad Anshori
    Frontiers in Sustainable Food Systems.2025;[Epub]     CrossRef
  • Morphoagronomical Evaluation of Several Indonesian Pigmented Rice (Oryza sativa L.) Accessions from East Java and Central Java, Indonesia
    Yeni Avidhatul Husnah, Turhadi Turhadi, Anna Safitri, Fatchiyah Fatchiyah
    Plant Breeding and Biotechnology.2024;[Epub]     CrossRef
  • Genomic prediction of cereal crop architectural traits using models informed by gene regulatory circuitries from maize
    Edoardo Bertolini, Mohith Manjunath, Weihao Ge, Matthew D Murphy, Mirai Inaoka, Christina Fliege, Andrea L Eveland, Alexander E Lipka, J Endelman
    GENETICS.2024;[Epub]     CrossRef
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The Study of Morphological Characteristics and Statistics of the Phenotypes and Correlation in Faba Bean (Vicia faba L.) Germplasm
Bullo Neda, Tileye Feyissa, Kifle Dagne, Ermias Assefa
Plant Breed. Biotech. 2021;9(2):139-163.   Published online June 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.2.139

Faba bean is amongst the most important food legumes in the world. Ninety landraces and six released faba bean accessions were evaluated for variability parameters, correlation, and path coefficients for nineteen traits at two locations over two years. There were significant differences (P < 0.05) to very high significant differences (P < 0.001) among accessions for all traits considered in all environments except for leaf width, days to flowering, number of seeds per pod, and seed filling period which were non-significant at Girar Jerso in 2018 and number of branches per plant was also non-significant at Degem in 2018. In this study phenotypic coefficient of variation, genotypic coefficient of variation, and broad-sense heritability also revealed medium to high values for most traits. Genetic gains expected from selecting the top 5% of the genotypes, as a percent of the mean varied from 0.49% to 145.83%. High heritability coupled with high genetic advance as percent of mean was observed for most of the traits, indicating an improvement in these traits through simple selection. Path coefficient analysis indicated, traits that had a positive direct effect and correlation with grain yield, could be used as a reliable indicator in indirect selection for higher grain yield.

Citations

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  • The Pearson’s χ2 test is feasible for plant biotechnology experiments involving quantitative data
    José Carlos Lorenzo, Daviel Gómez, Lisbet Pérez-Bonachea, Yanier Acosta, Barbarita Companioni, Byron E. Zevallos–Bravo, María de Lourdes Tapia y Figueroa, Elliosha Hajari
    Vegetos.2025; 39(2): 811.     CrossRef
  • Genome-wide association studies revealed DArTseq loci associated with agronomic traits in Turkish faba bean germplasm
    Tolga Karaköy, Faruk Toklu, Eylem Tuğay Karagöl, Damla Uncuer, Yeter Çilesiz, Amjad Ali, Muhammad Azhar Nadeem, Hakan Özkan
    Genetic Resources and Crop Evolution.2024; 71(1): 181.     CrossRef
  • Correlation and Path Coefficient Analysis of Yield and Yield Components in Faba Bean (<i>Vicia faba </i>L.) Genotypes
    Solomon Shferaw, Wossen Tarekegne
    American Journal of BioScience.2024; 12(4): 101.     CrossRef
  • Generation Mean Analysis, Heterosis, and Genetic Diversity in Five Egyptian Faba Beans and Their Hybrids
    Mohamed S. Abd El-Aty, Mahmoud A. El-Hity, Tharwat M. Abo Sen, Ibrahim A. E. Abd El-Rahaman, Omar M. Ibrahim, Ammar Al-Farga, Amira M. El-Tahan
    Sustainability.2023; 15(16): 12313.     CrossRef
  • Exploration of global faba bean germplasm for agronomic and nitrogen fixation traits
    L. Boots‐Haupt, K. Brasier, R. Saldivar‐Menchaca, S. Estrada, J. Prieto‐Garcia, J. Jiang, R. Riar, J. Hu, H. Zakeri
    Crop Science.2022; 62(5): 1891.     CrossRef
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Statistical and Machine Learning-Based FHB Detection in Durum Wheat
Nasrin Azimi, Omid Sofalian, Mahdi Davari, Ali Asghari, Naser Zare
Plant Breed. Biotech. 2020;8(3):265-280.   Published online September 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.3.265

Pathogens are the major causes of wheat crop yield losses, including the fungus Fusarium graminearum, an agent of Fusarium Head Blight (FHB). A better understanding of the relationship between plant morphological and biochemical traits and resistance to FHB can be effective in implementing a successful breeding program. This study investigated the relationship between FHB resistance as well as the morphological and biochemical traits in 20 durum wheat lines. Both morphological and biochemical traits were investigated using statistical tools. Therefore, analyses of variance, mean, as well as the correlation between the traits were con-sidered. In addition, for the morphological traits, cluster analyses were performed to identify similar genotypes in control and infected conditions. Furthermore, machine learning (ML) classification techniques, including Support Vector Machine (SVM), were proposed to detect the infected plants using morphological traits. The results show a great promise for the application of data-driven ML-based methods in plant breeding and disease detection.

Citations

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  • Leveraging the WFD2020 Dataset for Multi-Class Detection of Wheat Fungal Diseases with YOLOv8 and Faster R-CNN
    Shivani Sood, Harjeet Singh, Surbhi Bhatia Khan, Ahlam Almusharraf
    Computers, Materials & Continua.2025; 84(2): 2751.     CrossRef
  • A Review of Artificial Intelligence Techniques for Wheat Crop Monitoring and Management
    Jayme Garcia Arnal Barbedo
    Agronomy.2025; 15(5): 1157.     CrossRef
  • Wheat Fusarium Head Blight Automatic Non-Destructive Detection Based on Multi-Scale Imaging: A Technical Perspective
    Guoqing Feng, Ying Gu, Cheng Wang, Yanan Zhou, Shuo Huang, Bin Luo
    Plants.2024; 13(13): 1722.     CrossRef
  • Assessment of Fusarium Head Blight Resistance Genes in Domestic Wheat Varieties
    Myoung Hui Lee, Changhyun Choi, Sumin Hong, Chon-Sik Kang, Mira Yoon, Ki-Chang Jang, Chul Soo Park, Kyeong-Min Kim
    Korean Journal of Breeding Science.2024; 56(3): 205.     CrossRef
  • Current Trends in Wheat Breeding Strategies for Developing Domestic Wheat Cultivars in Korea
    Hajeong Kang, Hyoun-Min Park, San-Gu Lee, Eun-Ha Kim, Muhammad Imran, Hanyoung Choi, Myeong-Ji Kim, Seonwoo Oh
    Korean Journal of Breeding Science.2024; 56(4): 491.     CrossRef
  • Research Advances in Wheat Breeding and Genetics for Fusarium Head Blight Resistance
    Myoung-Hui Lee, Sumin Hong, Kyeong-Min Kim, Sun-Hwa Kwak, Changhyun Choi, Chon-Sik Kang, Chul Soo Park, Youngjun Mo, Kyeong-Hoon Kim
    Korean Journal of Breeding Science.2023; 55(3): 195.     CrossRef
  • Leaf and spike wheat disease detection & classification using an improved deep convolutional architecture
    Lakshay Goyal, Chandra Mani Sharma, Anupam Singh, Pradeep Kumar Singh
    Informatics in Medicine Unlocked.2021; 25: 100642.     CrossRef
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Review

A Review and Perspective on Soybean (Glycine max L.) Breeding for the Resistance to Phytophthora sojae in Korea
Ik-Hyun Jang, Sungwoo Lee
Plant Breed. Biotech. 2020;8(2):114-130.   Published online June 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.2.114

Phytophthora root and stem rot (PRR) of soybean is a severe disease that causes significant economic losses in soybean-growing countries. The causal agent, Phytophthora sojae, is a soil-borne oomycete that causes pre- and post-emergence damping-off of soybean in poorly drained soils. PRR has not been a severe problem in South Korea; however, as the cultivation of soybean in paddy fields recently increased, there is a growing interest because the incidence of PRR can be extensively expanded. R-gene mediated resistance is known as the main strategy for the management of this disease. On the other hand, partial resistance has also been known to provide more effective disease management than the Rps (Resistance to Phytophthora sojae) resistance. Responses of domestic soybean cultivars to a few P. sojae isolates were recently reported, while phenotypic distribution of numerous germplasms is mostly unknown. The
objective
s of this review are to summarize published studies conducted on PRR, to suggest future directions of genetic researches and breeding to the target pathogen. This review will discuss the followings; i) a brief introduction to PRR and the causal agent P. sojae, ii) types of genetic resistance to P. sojae and findings of genes/QTL conditioning to resistance, iii) changes in virulence pathotype of P. sojae populations, and iv) current status and perspective of genetic/genomic researches on the interaction of soybean and P. sojae in the South Korea.

Citations

Citations to this article as recorded by  
  • Identification and genetic analysis of candidate genes for resistance against Phytophthora sojae in soybean using a genome-wide association study
    Hye Rang Park, Su Vin Heo, Beom Kyu Kang, Hyoseob Seo, Eunsoo Lee, Jihee Park, Yun Woo Jang, Jeong Hyun Seo, Girim Park, Jun Hoi Kim, Yeong Hoon Lee, Won Young Han, Myung Chul Seo, Ji-Ung Jeung
    Frontiers in Plant Science.2025;[Epub]     CrossRef
  • Pathotypes and Simple Sequence Repeat (SSR)-Based Genetic Diversity of Phytophthora sojae Isolates in the Republic of Korea
    Ngoc Ha Luong, In-Jeong Kang, Hee Jin You, Sungwoo Lee
    Microorganisms.2025; 13(3): 478.     CrossRef
  • Identification of New Isolates of Phytophthora sojae and Selection of Resistant Soybean Genotypes
    Su Vin Heo, Hye Rang Park, Yun Woo Jang, Jihee Park, Beom Kyu Kang, Jeong Hyun Seo, Jun Hoi Kim, Ji Yoon Lee, Man Soo Choi, Jee Yeon Ko, Choon Song Kim, Sungwoo Lee, Tae-Hwan Jun
    The Plant Pathology Journal.2024; 40(3): 329.     CrossRef
  • Genetic dissection of resistance to Phytophthora sojae using genome-wide association and linkage analysis in soybean [Glycine max (L.) Merr.]
    Hee Jin You, Ik Hyun Jang, Jung-Kyung Moon, In-Jeong Kang, Ji-Min Kim, Sungtaeg Kang, Sungwoo Lee
    Theoretical and Applied Genetics.2024;[Epub]     CrossRef
  • Genome-Wide Association Study for Resistance to Phytophthora sojae in Soybean [Glycine max (L.) Merr.]
    Hee Jin You, Ruihua Zhao, Yu-Mi Choi, In-Jeong Kang, Sungwoo Lee
    Plants.2024; 13(24): 3501.     CrossRef
  • Responses of Soil Microbial Communities in Soybean–Maize Rotation to Different Fertilization Treatments
    Yunlong Wang, Liqiang Zhang, Fangang Meng, Zixi Lou, Xiaoya An, Xinbo Jiang, Hongyan Zhao, Wei Zhang
    Agronomy.2023; 13(6): 1590.     CrossRef
  • Soybean Variety Saedanbaek Confers a New Resistance Allele to Phytophthora sojae
    Hee Jin You, Kyu-Chan Shim, In-Jeong Kang, Ji-Min Kim, Sungtaeg Kang, Sungwoo Lee
    Plants.2023; 12(23): 3957.     CrossRef
  • Progress and prospectus in genetics and genomics of Phytophthora root and stem rot resistance in soybean (Glycine max L.)
    Subhash Chandra, Mukesh Choudhary, Pravin K. Bagaria, Vennampally Nataraj, Giriraj Kumawat, Jeet Ram Choudhary, Humira Sonah, Sanjay Gupta, Shabir Hussain Wani, Milind B. Ratnaparkhe
    Frontiers in Genetics.2022;[Epub]     CrossRef
  • Breeding for disease resistance in soybean: a global perspective
    Feng Lin, Sushil Satish Chhapekar, Caio Canella Vieira, Marcos Paulo Da Silva, Alejandro Rojas, Dongho Lee, Nianxi Liu, Esteban Mariano Pardo, Yi-Chen Lee, Zhimin Dong, Jose Baldin Pinheiro, Leonardo Daniel Ploper, John Rupe, Pengyin Chen, Dechun Wang, He
    Theoretical and Applied Genetics.2022; 135(11): 3773.     CrossRef
  • Gene-Based Allele Specific Marker for Resistance to Phytophthora sojae in Soybean (Glycine max L.)
    Young Eun Jang, Sungwoo Lee
    Plant Breeding and Biotechnology.2021; 9(2): 164.     CrossRef
  • Differences in Cotyledon Color and Harvest Period Affect the Contents of Major Isoflavones and Anthocyanins in Black Soybeans
    Yu-Mi Choi, Hyemyeong Yoon, Myoung-Jae Shin, Yoonjung Lee, Sukyeung Lee, On Sook Hur, Na Young Ro, Ho-Cheol Ko, Jeongyoon Yi, Sang Hoon Lee, Heon-Woong Kim, Yu Jin Hwang, Myung-Chul Lee, Kebede Taye Desta
    Plant Breeding and Biotechnology.2021; 9(1): 65.     CrossRef
  • Genetic Mapping of a Resistance Locus to Phytophthora sojae in the Korean Soybean Cultivar Daewon
    Ik-Hyun Jang, In Jeong Kang, Ji-Min Kim, Sung-Taeg Kang, Young Eun Jang, Sungwoo Lee
    The Plant Pathology Journal.2020; 36(6): 591.     CrossRef
  • Two Isolate-specific Resistance Loci for Phytophthora sojae in the Soybean Socheong2
    Young Eun Jang, Ik Hyun Jang, In Jeong Kang, Ji-Min Kim, Sung-Taeg Kang, Sungwoo Lee
    Korean Journal of Breeding Science.2020; 52(4): 398.     CrossRef
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Research Articles

Genotype by Planting Date Effects on Cowpea in Humid Fringes, Southeast Nigeria
Godson Emeka Nwofia, Chinenye Rozzy Onyekwere, Emmanuel Ukaobasi Mbah
Plant Breed. Biotech. 2018;6(2):95-108.   Published online June 1, 2018
DOI: https://doi.org/10.9787/PBB.2018.6.2.95

A two-year factorial arranged field experiment in randomized complete block design with three replications was carried out in 2014 and 2015 at Michael Okpara University of Agriculture Teaching and Research Farm, Umudike (latitude 05° 29′N; longitude 07° 33′E; altitude 122 m above sea level), Nigeria. The
objective
s were to assess growth and yield response of twenty newly released cowpea genotypes to different planting dates (July, August and September). Plant height, number of leaves/plant, number of branches/plant, shoot biomass, total dry matter, number of nodules/plant, weight of pod, number of seeds/pod, seed weight/pod and grain yield varied amongst the genotypes and across the different planting dates in both years. The association between grain yield and other variables analysed across both years was significant and positive except 100-seed weight and the phenological characters of the plant. Path coefficients analysis across two years indicated that seed weight/pod followed by number of branches/plant and number of seeds/pod had positive direct effect on grain yield of cowpea in contrast to characters that exhibited negative but direct effect on yield. The other traits had relatively negligible to low indirect effects that were positive through other component traits. The grain yield sequence of interaction between genotype and date of planting was in this order: IT06K-141 planted in July > IT11K-61-82 planted in September > IT99K-573-1-1 planted in August. IT06K-141 genotype was considered to be better endowed genetically while the mean across both years indicated August as appropriate planting date to ensure high and sustainable grain yield.

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Glutathione S-Transferase Genes Differently Expressed by Pathogen-Infection in Vitis flexuosa
Soon Young Ahn, Seon Ae Kim, Hae Keun Yun
Plant Breed. Biotech. 2016;4(1):61-70.   Published online February 29, 2016
DOI: https://doi.org/10.9787/PBB.2016.4.1.61

Glutathione S-transferase (GST) genes from transcripts of Vitis flexuosa leaves infected with Elsinoe ampelina were characterized and analyzed for their expression using primers based on specific regions. Comparison of deduced amino acid sequences from GST transcripts of V. flexuosa showed that the score of the deduced amino acid identity ranged from 43.38% (VfGST26625 and VfGST774) to 6.67% (Vf GST13892 and Vf GST774). Primary and secondary structure analysis was performed using the ProtParam and Self-Optimized Prediction Method with Alignment software. A phylogenetic tree was constructed from the GST proteins by the neighbor joining method using MEGA 6.0 to investigate the relationship among Vf GST, VvGST, and At GST proteins. To evaluate the differential expression pattern of GST genes by real-time polymerase chain reaction (PCR), primers specific to unique regions in each gene were obtained by alignment of the sequences. Real-time PCR revealed that GST genes were expressed differentially in the leaves of V. flexuosa infected with Botrytis cinerea, E. ampelina, and Rhizobium vitis. The expression of VfGST26625 was up-regulated, while that of others were down-regulated among five GSTs in all grapevine leaves inoculated with each pathogen. The results provided herein improve our understanding of defense responses to various pathogen attacks in grapevines.

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  • Low-voltage electrostatic field enhances anthracnose resistance and delays quality deterioration in postharvest persimmon via jasmonic acid-mediated defense activation
    Lili Ma, Jinhua Zuo, Yunxiang Wang, Jiejie Tao, Shiyu Liu, Yiting Ren, Xinyi Feng, Tianyu Li, Hua Chen, Caie Wu, Yanyan Zheng
    Postharvest Biology and Technology.2026; 237: 114315.     CrossRef
  • Dynamic transcriptomic responses reveal candidate defense genes against Spongospora subterranea f. sp. subterranea and Potato mop-top virus infection
    Samodya K. Jayasinghe, Natalia Moroz, Stephen P. Ficklin, Kiwamu Tanaka
    Frontiers in Plant Science.2026;[Epub]     CrossRef
  • Genetic dissection of storage pest resistance against Rhyzopertha dominica (F.) in wheat backcross introgression lines (BILs)
    Pooja Rani, Abhishek Pandey, Guru PN, Beant Singh, Palvi Malik, Deepika Narang, Achla Sharma, Parveen Chhuneja, Tanu Sri, Neha Gupta, Dhanashree Mhatre, Satinder Kaur
    Journal of Stored Products Research.2026; 116: 102986.     CrossRef
  • Screening of commercial guava (Psidium guajava L.) varieties against anthracnose disease caused by Colletotrichum gloeosporioides and evaluation of related biochemical characters of varieties
    Taranpreet Kaur, Nirmaljit Kaur, Navita Ghai, N. K. Arora, Anita Arora, Kirandeep Kaur Kang, Madhu Dhingra
    Indian Phytopathology.2025; 78(1): 105.     CrossRef
  • Glutathione Pathways and Gene Networks: Central Players in Crop Adaptation to Environmental Stresses
    Aparupa Bose Mazumdar, Sharmila Chattopadhyay
    Plant Growth Regulation.2025; 105(6): 1927.     CrossRef
  • Expression pattern of the poplar GSTU family members in response to Alternaria alternate and PdbGSTU10 confers A. alternate resistance to Populus davidiana × P. bolleana
    Ying Huang, Tianxiang Cui, Xiaodong Wang, Yi Niu, Gang Han, Chao Wang
    Plant Science.2024; 346: 112170.     CrossRef
  • Mechanistic insights to Paenibacillus lentimorbus mediated biocontrol of Alternaria solani in Solanum lycopersicum L. through carbohydrate reallocation and sweet immunity suppression
    Garima Gupta, Harshita Joshi, Shashank Kumar Mishra, Puneet Singh Chauhan
    Physiological and Molecular Plant Pathology.2024; 134: 102403.     CrossRef
  • Sulfur dioxide enhances postharvest grape resistance to Botrytis cinerea by promoting glutathione level
    Shijun Xing, Man Wang, Zheng Zhang, YuYao Yuan, Zunyang Song, Bin Wu, Jia Wei
    Scientia Horticulturae.2024; 334: 113295.     CrossRef
  • Single-step genome-wide association study for susceptibility to Teratosphaeria nubilosa and precocity of vegetative phase change in Eucalyptus globulus
    Marianella Quezada, Facundo Matias Giorello, Cecilia Corina Da Silva, Ignacio Aguilar, Gustavo Balmelli
    Frontiers in Plant Science.2023;[Epub]     CrossRef
  • Comparative Transcriptomics Profiling of Perennial Ryegrass Infected with Wild Type or a ΔvelA Epichloë festucae Mutant Reveals Host Processes Underlying Mutualistic versus Antagonistic Interactions
    Mostafa Rahnama, Paul Maclean, Damien J. Fleetwood, Richard D. Johnson
    Journal of Fungi.2023; 9(2): 190.     CrossRef
  • Current status and future prospects of grapevine anthracnose caused by Elsinoe ampelina: An important disease in humid grape‐growing regions
    Zhi Li, Ricardo Feliciano dos Santos, Linlin Gao, Pingping Chang, Xiping Wang
    Molecular Plant Pathology.2021; 22(8): 899.     CrossRef
  • Transcriptomic dynamics changes related to anthocyanin accumulation in the fleshy roots of carmine radish (Raphanus sativus L.) characterized using RNA-Seq
    Xia Song, Jian Gao, Hua Peng
    PeerJ.2021; 9: e10978.     CrossRef
  • The Resistance of Narrow-Leafed Lupin to Diaporthe toxica Is Based on the Rapid Activation of Defense Response Genes
    Michał Książkiewicz, Sandra Rychel-Bielska, Piotr Plewiński, Maria Nuc, Witold Irzykowski, Małgorzata Jędryczka, Paweł Krajewski
    International Journal of Molecular Sciences.2021; 22(2): 574.     CrossRef
  • Vitis vinifera (grapevine) lncRNAs are potential regulators of response to necrotrophic fungus, Botrytis cinerea infection
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Identification of Chrysanthemum Genetic Resources Resistant to White Rust Caused by Puccinia horiana
Sang Kun Park, Jin Hee Lim, Hak Ki Shin, Jae A Jung, Young Soon Kwon, Mi Seon Kim, Ki Sun Kim
Plant Breed. Biotech. 2014;2(2):184-193.   Published online June 30, 2014
DOI: https://doi.org/10.9787/PBB.2014.2.2.184

This experiment was carried out to identify genetic resources of chrysanthemum wild species and commercial cultivars that are resistant to white rust disease caused by Puccinia horiana. A total of 190 chrysanthemum accessions, composed of 11 accessions belonging to six wild species and 179 commercial cultivars, were screened for resistance to P. horiana isolates collected from Muan and Jeonju, the main production area of chrysanthemum in Korea. A total of 41 spray cultivars and three wild species (Chrysanthemum boreale, C. yoshinaganthum, and C. zawadskii) were identified as resistant. Nine standard and 28 spray cultivars with poorly developed chlorotic lesions and pustules on the leaves were moderate resistant. The remaining 18 standard, 83 spray cultivars and three wild species (Aster spathulifolius, C. indicum, and C. pacificum) were highly susceptible. The use of resistant cultivars is one of the most efficient approaches for overcoming white rust disease in chrysanthemum cultivation. Therefore, these genetic resources can be used in crossbreeding programs for developing white rust resistant chrysanthemum cultivars.

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  • Biological and Medicinal Properties of Chrysanthemum boreale Makino and Its Bioactive Products
    Christian Bailly
    International Journal of Molecular Sciences.2025; 26(13): 5956.     CrossRef
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    Inventions.2023; 8(3): 76.     CrossRef
  • Cloning and identification of CmCC-NB-ARC, a chrysanthemum white rust resistance gene
    Lin Jiang, Xin Feng, Xinyue Chen, Yumeng Yu, Hongyu Mao, Pengfang Zhu
    Ornamental Plant Research.2023;[Epub]     CrossRef
  • A genome-wide association and fine-mapping study of white rust resistance in hexaploid chrysanthemum cultivars with a wild diploid reference genome
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  • Spray Chrysanthemum ‘Field Green’ with Yellow Green Petal, Single Type, and White Rust Resistance for Cut Flower
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    So Youn Won, Jae-A Jung, Jung Sun Kim
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  • Comparative transcriptome analysis reveals whole-genome duplications and gene selection patterns in cultivated and wild Chrysanthemum species
    So Youn Won, Soo-Jin Kwon, Tae-Ho Lee, Jae-A Jung, Jung Sun Kim, Sang-Ho Kang, Seong-Han Sohn
    Plant Molecular Biology.2017; 95(4-5): 451.     CrossRef
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Differential Expression of β-1,3-Glucanase Transcripts Induced by Pathogens in the Leaves of Vitis flexuosa
Soon Young Ahn, Seon Ae Kim, Hae Keun Yun
Plant Breed. Biotech. 2014;2(2):176-183.   Published online June 30, 2014
DOI: https://doi.org/10.9787/PBB.2014.2.2.176

The differential expression of β-1,3-glucanase genes in the leaves of Vitis flexuosa induced by fungal and bacterial pathogen infections was investigated. The nucleotide and deduced amino acid sequences of β-1,3-glucanase genes from the transcripts of V. flexuosa were compared. The percentage similarity of deduced amino acid ranged from 22.0% between VfGlu34359 and VfGlu48103 to 96.9% in VvGlu2735 and VvGlu48103. To demonstrate the differential expression pattern of β-1,3-glucanase genes, primers specific to unique regions in each gene were obtained by alignment of the sequences. Accumulation patterns of β-1,3-glucanase mRNAs in the leaves of V. flexuosa were induced differentially and were dependent on the pathogens used including Botrytis cinerea, Colletotrichum acutatum, Elsinoe ampelina, and Rhizobium vitis. This study provides useful information that will improve our understanding of grapevine defense responses to various pathogen attacks.

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    BMC Plant Biology.2024;[Epub]     CrossRef
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    Frontiers in Plant Science.2019;[Epub]     CrossRef
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Review Article
Key Roles of Cysteine Protease in Different Plant Pathosystem
Marjohn Niño, Joonki Kim, Hye Jung Lee, Sailila E. Abdula, Ill Sup Nou, Yong-Gu Cho
Plant Breed. Biotech. 2014;2(2):97-109.   Published online June 30, 2014
DOI: https://doi.org/10.9787/PBB.2014.2.2.097

Cysteine protease is one of the well-studied proteolytic enzymes in plants. This class of protease has been implicated in various physiological aspects of developmental stages in plants including seed germination, senescence, and disease immunity. A handful of studies assign plants cysteine protease in different molecular battlefield under a few selected pathosystems, and initially extricate complex molecular mechanism of resistance. Interestingly, the same type of proteases released by pathogens have been demonstrated to play a crucial role in establishing disease infection in plants. Most of which target resistance proteins resulting either in an access to the hosts biochemical loot or cascades of signals for defense. As means of enabling and disabling host immunity, this class of protease is subject to diversifying selection, which is an intriguing outcome under natural host pathosystem. This paper summarizes the key roles of cysteine proteases in a few selected plant pathosystems.

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