scholarly journals An advanced lentil backcross population developed from a cross between Lens culinaris × L. ervoides for future disease resistance and genomic studies

2021 ◽  
pp. 1-7
Author(s):  
Tadesse S. Gela ◽  
Stanley Adobor ◽  
Hamid Khazaei ◽  
Albert Vandenberg

Abstract Genetically accessible variation to some of the abiotic and biotic stresses are limited in the cultivated lentil (Lens culinaris Medik.) germplasm. Introgression of novel alleles from its wild relative species will be useful for enhancing the genetic improvement of the crop. L. ervoides, one of the wild relatives of lentil, is a proven source of disease resistance for the crop. Here we introduce a lentil advanced backcross (LABC-01) population developed in cultivar ‘CDC Redberry’ background, based on L. ervoides alleles derived from an interspecific recombinant inbred population, LR-59-81. Two-hundred and seventeen individuals of the LABC-01 population at BC2F3:4 generation were screened for the race 0 of anthracnose (Colletotrichum lentis) and stemphylium blight (Stemphylium botryosum) under controlled conditions. The population showed significant variations for both diseases and the transfer of resistance alleles into the elite cultivar was evident. It also segregated for other traits such as days to flowering, seed coat colour, seed coat pattern and flower colour. Overall, we showed that LABC-01 population can be used in breeding programmes worldwide to improve disease resistance and will be available as a valuable genetic resource for future genetic analysis of desired loci introgressed from L. ervoides.

2021 ◽  
Author(s):  
Tadesse S Gela ◽  
Stanley Adobor ◽  
Hamid Khazaei ◽  
Albert Vandenberg

AbstractGenetically accessible variation to some of the abiotic and biotic stresses are limited in the cultivated lentil (Lens culinaris Medik.) germplasm. Introgression of novel alleles from its wild relative species might be required for enhancing the genetic improvement of the crop. L. ervoides, one of the wild relatives of lentil, is a proven source of disease resistance for the crop. Here we introduce a lentil advanced backcross population (LABC-01) developed in cultivar CDC Redberry background, based on L. ervoides alleles derived from an interspecific recombinant inbred population, LR-59-81. Two-hundred and seventeen individuals of the LABC-01 population at BC2F3:4 generation were screened for the race 0 of anthracnose (Colletotrichum lentis) and stemphylium blight (Stemphylium botryosum) under controlled conditions. The population showed significant variations for both diseases and transfer of resistance alleles into the elite cultivar was evident. It also segregated for other traits such as days to flowering, seed coat colour, seed coat pattern and flower colour. Overall, we showed that LABC-01 population can be used in breeding programs worldwide to improve disease resistance and will be available as a valuable genetic resource for future genetic analysis of desired loci introgressed from L. ervoides.


2006 ◽  
Vol 86 (2) ◽  
pp. 497-498 ◽  
Author(s):  
A. Vandenberg ◽  
S. Banniza ◽  
T. D. Warkentin ◽  
S. Ife ◽  
B. Barlow ◽  
...  

CDC Redberry is a high-yielding, red cotyledon lentil (Lens culinaris Medik.) cultivar developed by the Crop Development Centre, University of Saskatchewan, Saskatoon, Saskatchewan. It has gray seed coat colour, suitable for the red market class of lentil. It is intended for cultivation in all lentil growing areas of western Canada. CDC Redberry was issued registration No.5771 on 2003 Dec. 19 by the Variety Section, Plant Products Division, Canadian Food Inspection Agency. Key words: Lentil, cultivar description, Lens culinaris


2008 ◽  
Vol 6 (1) ◽  
pp. 62-69 ◽  
Author(s):  
M. L. Wang ◽  
A. G. Gillaspie ◽  
J. B. Morris ◽  
R. N. Pittman ◽  
J. Davis ◽  
...  

Flavonoid content was quantified by high performance liquid chromatography (HPLC) and seed-coat colour was recorded from different legume seeds. Soybean seeds generally contained significantly higher amounts of daidzein (315–354 μg/g), genistein (438–458 μg/g), kaempferol (38–68 μg/g) and total measured flavonoids (892–917 μg/g), while cowpea and peanut seeds contained a significantly higher amount of quercetin (214–280 μg/g and 133–289 μg/g, respectively) than the other legumes tested. Significant variation for flavonoid content existed among and within legume species. Daidzein was significantly correlated with genistein and kaempferol (r = 0.92, P < 0.0001; r = 0.68, P < 0.0001), respectively. Genistein was also significantly correlated with kaempferol (r = 0.84, P < 0.0001). Due to differences in genetic background, no consistent relationship was observed between seed-coat colour and flavonoid content. Variation observed in flavonoid content and seed-coat colour would be useful for legume breeding programmes and consumer use.


2002 ◽  
Vol 82 (1) ◽  
pp. 111-112 ◽  
Author(s):  
A. Vandenberg ◽  
F. A. Kiehn ◽  
C. Vera ◽  
R. Gaudiel ◽  
L. Buchwaldt ◽  
...  

CDC Robin is a high-yielding, red cotyledon lentil (Lens culinaris Medik.) cultivar developed by the Crop development Centre, University of Saskatchewan, Saskatoon, Saskatchewan. It has brown seed coat colour suitable for the small red market class of lentil. It is intended for cultivation in all lentil-growing areas of western Canada. CDC Robin was issued registration #4990 on 4 October 1999 by the Variety Section, Plant Health and Plant Products Division, Canadian Food Inspection Agency. Key words: Lentil, cultivar description, Lens culinaris


1970 ◽  
Vol 6 (1) ◽  
pp. 27-31 ◽  
Author(s):  
M. Osman Khidir ◽  
H. El Gizouli Osman

SummaryIn 90 local sesame types there was some association between seed coat colour and seed size, stem height, number of branches, number of pods, yield per plant and earliness. Forty-five coefficients show the degree of correlation between ten agronomic characters. Yield was significantly and positively correlated with all characters except the number of days to first flowering and to first maturity. Stem height, number of pods per plant and seed size seem to be the best criteria for selection in sesame.


2019 ◽  
Author(s):  
Keith Halcro ◽  
Kaitlin McNabb ◽  
Ashley Lockinger ◽  
Didier Socquet-Juglard ◽  
Kirstin E Bett ◽  
...  

AbstractBackgroundSeed analysis is currently a bottleneck in phenotypic analysis of seeds. Measurements are slow and imprecise with potential for bias to be introduced when gathered manually. New acquisition tools were requested to improve phenotyping efficacy with an emphasis on obtaining colour information.ResultsA portable imaging system (BELT) supported by image acquisition and analysis software (phenoSEED) was created for small-seed optical analysis. Lentil (Lens culinaris L.) phenotyping was used as the primary test case. Seeds were loaded into the system and all seeds in a sample were automatically and individually imaged to acquire top and side views as they passed through an imaging chamber. A Python analysis script applied a colour calibration and extracted quantifiable traits of seed colour, size and shape. Extraction of lentil seed coat patterning was implemented to further describe the seed coat. The use of this device was forecasted to eliminate operator biases, increase the rate of acquisition of traits, and capture qualitative information about traits that have been historically analyzed by eye.ConclusionsIncreased precision and higher rates of data acquisition compared to traditional techniques will help breeders to develop more productive cultivars. The system presented is available as an open-source project for academic and non-commercial use.


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