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En-nahli Y, Hejjaoui K, Mentag R, Es-safi NE, Amri M. Large Field Screening for Resistance to Broomrape ( Orobanche crenata Forsk.) in a Global Lentil Diversity Panel (GLDP) ( Lens culinaris Medik.). PLANTS (BASEL, SWITZERLAND) 2023; 12:2064. [PMID: 37653981 PMCID: PMC10222529 DOI: 10.3390/plants12102064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 02/28/2023] [Accepted: 03/22/2023] [Indexed: 09/02/2023]
Abstract
Broomrape (Orobanche crenata Forsk.) is a serious problem causing important losses to lentil (Lens culinaris Medik.) production and productivity in Mediterranean countries. Despite intensive breeding activities, no resistance sources against O. crenata have been identified so far. In this study, a Global Lentil Diversity Panel (GLDP) of 1315 genotypes including local populations, landraces, accessions, improved lines and released varieties were evaluated for their resistance to O. crenata under highly infested field conditions at ICARDA Marchouch research station, Morocco. The trial was conducted according to an augmented design with repeated susceptible checks. The best-performing genotypes were selected based on the correlations between Orobanche infestation parameters and agronomic performance. Results showed significant variation (p < 0.005) among the studied genotypes and between the tested genotypes and checks for BY, D2F, D2M, PH, EODW and NEO. Out of the 1315 tested genotypes, only (1%) showed high to moderate resistance levels to O. crenata. Most of these genotypes are improved lines originating from different breeding programs. the PCA analysis clustered all the tested genotypes into four different groups. Good resistance levels were recorded for the genotypes ILL7723, ILL 7982, ILL 6912, ILL 6415, ILL 9850, ILL 605, ILL 7915, ILL 1861 and ILL 9888 showing a parasitism index and grain yield ranging from 1.69 to 5.99 and 10.97 to 60.19 g m-2, respectively. Person's correlation showed significant negative correlations between agronomic traits and infestation parameters. Both the path and spatial analysis showed that the D2F, NEO, D2OE, SEV and parasitism index (PI) were the strongest driver traits that influenced the seed yield (SY).
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Affiliation(s)
- Youness En-nahli
- AgroBioSciences Program (AgBS), College of Sustainable Agriculture and Environmental Science (CSAES), University Mohammed VI Polytechnic (UM6P), Ben Guerir 43150, Morocco
- Materials Science Center (MSC), Mohammed V University in Rabat, Laboratoire de Physicochimie de Matériaux Organiques et Inorganiques (LPCMOI), Ecole Normale Supérieure, Rabat 10010, Morocco
| | - Kamal Hejjaoui
- AgroBioSciences Program (AgBS), College of Sustainable Agriculture and Environmental Science (CSAES), University Mohammed VI Polytechnic (UM6P), Ben Guerir 43150, Morocco
| | - Rachid Mentag
- Biotechnology Research Unit, Regional Center of Agricultural Research of Rabat, National Institute of Agricultural Research (INRA), Avenue Ennasr, Rabat 10000, Morocco
| | - Nour Eddine Es-safi
- Materials Science Center (MSC), Mohammed V University in Rabat, Laboratoire de Physicochimie de Matériaux Organiques et Inorganiques (LPCMOI), Ecole Normale Supérieure, Rabat 10010, Morocco
| | - Moez Amri
- AgroBioSciences Program (AgBS), College of Sustainable Agriculture and Environmental Science (CSAES), University Mohammed VI Polytechnic (UM6P), Ben Guerir 43150, Morocco
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Genetic Variation of a Lentil (Lens culinaris) Landrace during Three Generations of Breeding. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12010450] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Genetic differentiation between 40 lentil genotypes was tested using molecular markers. The genotypes were produced from a Greek landrace of commercial interest via the honeycomb breeding methodology, i.e., single-plant selection in the absence of competition, across three successive pedigree generations. The selected genotypes from each generation were examined for genetic relationships using 15 SSR molecular markers with HRM analysis. As expected, low variation among consecutive generations at the level of 2.5–7.7% was detected. Analysis of molecular variance (AMOVA) revealed that partitioning of this variation was at higher percentage within each generation’s population than between them. Population structure analysis indicated that ongoing selection could effectively shift the allelic composition in each generation. The applied honeycomb breeding methodology that effectively improved progeny yield and seed quality increased the percentage of favorable alleles altering allelic composition but not eliminating genetic variation of the breeding population.
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Zelmat L, Mansi JM, Aouzal S, Gaboun F, Khayi S, Ibriz M, El Guilli M, Mentag R. Genetic Diversity and Population Structure of Moroccan Isolates Belong to Alternaria spp. Causing Black Rot and Brown Spot in Citrus. Int J Genomics 2021; 2021:9976969. [PMID: 34859097 PMCID: PMC8632404 DOI: 10.1155/2021/9976969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 09/21/2021] [Accepted: 10/12/2021] [Indexed: 11/23/2022] Open
Abstract
Alternaria alternata is one of the most important fungi causing various diseases on citrus worldwide. In Morocco, Alternaria black rot (ABR) and Alternaria brown spot (ABS) are two major diseases causing serious losses in commercial cultivars of citrus. The aim of the present work was to study the genetic diversity and the population structure of isolates belonging to sect. Alternaria obtained from infected citrus fruits, collected from seven provinces at different locations in Morocco (markets, packinghouses, and orchards). Forty-five isolates were analyzed by sequence-related amplified polymorphism (SRAP) markers, and cluster analysis of DNA fragments was performed using UPGMA method and Jaccard coefficient. Cluster analysis revealed that isolates were classified in four distinct groups. AMOVA revealed also a large extent of variation within sect. Alternaria isolates (99%). The results demonstrate that no correlation was found among SRAP pattern, host, and geographical origin of these isolates. Population structure analyses showed that the Alternaria isolates from the same collection origin had almost a similar level of admixture.
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Affiliation(s)
- Lamyaa Zelmat
- Plant Pathology and Postharvest Quality laboratory, Plant Protection Research Unit, Regional Center of Agricultural Research of Kénitra, National Institue of Agricultural Research, El Menzeh Km 9, 14000, Kénitra, Morocco
- Biotechnology Research Unit, Regional Center of Agricultural Research of Rabat, National Institute of Agricultural Research, Avenue Ennasr, BP 415 Rabat Principale, 10090, Rabat, Morocco
- Department of Biology, Genetics and Biometrics Laboratory, Faculty of Sciences, Ibn Tofail University, Kénitra, Morocco
| | - Joseph Mbasani Mansi
- Biotechnology Research Unit, Regional Center of Agricultural Research of Rabat, National Institute of Agricultural Research, Avenue Ennasr, BP 415 Rabat Principale, 10090, Rabat, Morocco
- Department of Biology, Higher Institute of Medical Techniques (ISTM) Kinshasa, Democratic Republic of the Congo
| | - Sarra Aouzal
- Biotechnology Research Unit, Regional Center of Agricultural Research of Rabat, National Institute of Agricultural Research, Avenue Ennasr, BP 415 Rabat Principale, 10090, Rabat, Morocco
- Agro-Food and Health Laboratory, Faculty of Science and Techniques, Hassan First University of Settat, Settat, Morocco
| | - Fatima Gaboun
- Biotechnology Research Unit, Regional Center of Agricultural Research of Rabat, National Institute of Agricultural Research, Avenue Ennasr, BP 415 Rabat Principale, 10090, Rabat, Morocco
| | - Slimane Khayi
- Biotechnology Research Unit, Regional Center of Agricultural Research of Rabat, National Institute of Agricultural Research, Avenue Ennasr, BP 415 Rabat Principale, 10090, Rabat, Morocco
| | - Mohammed Ibriz
- Department of Biology, Genetics and Biometrics Laboratory, Faculty of Sciences, Ibn Tofail University, Kénitra, Morocco
| | - Mohammed El Guilli
- Plant Pathology and Postharvest Quality laboratory, Plant Protection Research Unit, Regional Center of Agricultural Research of Kénitra, National Institue of Agricultural Research, El Menzeh Km 9, 14000, Kénitra, Morocco
| | - Rachid Mentag
- Biotechnology Research Unit, Regional Center of Agricultural Research of Rabat, National Institute of Agricultural Research, Avenue Ennasr, BP 415 Rabat Principale, 10090, Rabat, Morocco
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