María J. Cobos's research while affiliated with Institute for Sustainable Agriculture and other places

What is this page?


This page lists the scientific contributions of an author, who either does not have a ResearchGate profile, or has not yet added these contributions to their profile.

It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.

If you're a ResearchGate member, you can follow this page to keep up with this author's work.

If you are this author, and you don't want us to display this page anymore, please let us know.

Publications (9)


Figure 2. HA-GGE biplot based on the grain yield (kg ha −1 ) of 19 pea breeding lines and 6 check cultivars grown at 9 field-year environments, from 2018 to 2020.
Figure 6. HA-GGE biplot based on crop appearance (1-5 scale) of 19 pea breeding lines and 6 check cultivars grown at 6 field-year environments, from 2019 to 2020.
Figure 7. HA-GGE biplot based on the number of broomrape per plant (Oc/pl) of 26 pea accessions grown at 9 field-year environments, from 2018 to 2020.
Figure 8. HA-GGE biplot based on powdery mildew infection (%) of 19 pea breeding lines and 6 check cultivars grown at 6 field-year environments, from 2018 to 2020. Ascochyta blight occurred only during 2018, being negligible in 2019 and 2020. The average infection during spring 2018 varied from low to high both in breeding lines and check cultivars (Table S8), being higher (>40% leaf canopy covered with lesions) on breeding lines J20 and J4 and on cv. Messire, the ones with normal leaf and therefore with a lower standing ability and worse crop appearance. Ascochyta blight severity was highly negatively correlated with crop stature (r = −0.75, p < 0.0001) and crop appearance (r = −0.79, p < 0.0001).
Breeding lines and check cultivars included in the study.

+1

Pea Breeding Lines Adapted to Autumn Sowings in Broomrape Prone Mediterranean Environments
  • Article
  • Full-text available

April 2021

·

186 Reads

·

8 Citations

Agronomy

·

·

·

[...]

·

In Mediterranean environments, with mild winters and dry summers, peas are planted in autumn or early winter to profit from winter rain and to avoid terminal drought and high summer temperatures. The root parasitic weed broomrape (Orobanche crenata) appears as a major limiting factor under these conditions. To address such specific growing conditions and associated constraints, targeted breeding is needed. We present here recent achievements in the development of pea lines arising from a wide hybridization program incorporating resistance to broomrape and to powdery mildew (Erysiphe pisi) from landraces and wild relatives. Their adaption to autumn sowings under Mediterranean rain fed conditions, and their agronomic performance and resistance to prevailing diseases is compared with those of check cultivars in a multi-environment field test with nine trials performed over three seasons. HA-GGE biplots were a powerful tool for comparison among accessions in terms of performance and stability for each trait assessed. Like this, breeding lines NS22, NS34, NS8, NS39, NS35, NS21 and NS83 over-yielded all check cultivars. Grain yield was strongly affected by broomrape infection, with little influence of powdery mildew and ascochyta blight. All breeding lines studied showed high to moderate resistance to broomrape, whereas all check cultivars were severely infected. Broomrape infection was not correlated with days to flowering, whereas powdery mildew infection was favored by long cycles. Broomrape infection was enhanced by mild winter temperatures before flowering and spring rain, whereas high spring temperatures hampered broomrape development.

Download
Share

Frequency distribution of pea aphid response among F7 RILs progenies from the P. fulvum cross (IFPI3260 × IFPI3251). AUDPC calculated from: (A) percentage of the plant with chlorosis (Chlor), (B) percentage of the tip with damage (TipDam), (C) percentage of the plant damaged by aphids attack (Dam), (D) percentage of the plant presenting wilting (Wilt), (E) number of aphid nymphs present at the apical part of the plant (Reprod). (F) Final reproduction rate calculated as the number of nymphs on the apical part of the plant 25 days after infestation (Reprod25). Arrows indicate the means of the tolerant (IFPI3251) and the susceptible (IFPI3260) parental lines.
Pea genetic linkage map constructed from a population formed by 84 F7 recombinant inbred lines (RILs) derived from the cross between Pisum fulvum accessions IFPI3260 and IFPI3251. The bar shows the genetic distance (cM). Anchor markers are reported in red. Results based on data previously published by Barilli et al. (2018).31
Likelihood plots of consistent quantitative trait loci (QTLs) for plant tolerance to pea aphid on linkage groups (LG) I (a), LGII (b), LGIII (c), LGIV (d) and V (e), using MapQTL in the IFPI3260 × IFPI3251 RIL population. Significant LOD thresholds were detected based on 1000 permutations. Absolute positions (in cM) of the molecular markers along LGs are shown on the vertical axes. Anchor markers are reported in red. Dam: percentage of damage severity; Chlor: percentage of plant with chlorotic area; TipDam: percentage of tips with damage; Wilt: percentage of plants presenting wilting; Reprod25: number of nymphs on the apical part of the plant 25 days after infestation. Arrows indicate the means of the tolerant (IFPI3251) and the susceptible (IFPI3260) parental lines.
Map features of IFPI3260 × IFPI3251 linkage map*
Identification of potential candidate genes controlling pea aphid tolerance in a Pisum fulvum high‐density integrated DArTseq SNP‐based genetic map

January 2020

·

187 Reads

·

10 Citations

Pest Management Science

Pest Management Science

BACKGROUND Pea (Pisum sativum) is one of the most important temperate grain legumes in the world, and its production is severely constrained by the pea aphid (Acyrthosiphon pisum). Wild relatives, such as P. fulvum, are valuable sources of allelic diversity to improve the genetic resistance of cultivated pea species against A. pisum attack. To unravel the genetic control underlying resistance to the pea aphid attack, a quantitative trait loci (QTL) analysis was performed using the previously developed high density integrated genetic linkage map originated from an intraspecific recombinant inbred line (RIL) population (P. fulvum: IFPI3260 × IFPI3251). RESULTS We accurately evaluated specific resistance responses to pea aphid that allowed the identification, for the first time, of genomic regions that control plant damage and aphid reproduction. Eight QTLs associated with tolerance to pea aphid were identified in LGs I, II, III, IV and V, which individually explained from 17.0% to 51.2% of the phenotypic variation depending on the trait scored, and as a whole from 17.0% to 88.6%. The high density integrated genetic linkage map also allowed the identification of potential candidate genes co‐located with the QTLs identified. CONCLUSIONS Our work shows how the survival of P. fulvum after the pea aphid attack depends on the triggering of a multi‐component protection strategy that implies a quantitative tolerance. The genomic regions associated with the tolerance responses of P. fulvum during A. pisum infestation have provided six potential candidate genes that could be useful in marker‐assisted selection (MAS) and genomic assisted breeding (GAB) after functional validation in the future. © 2019 Society of Chemical Industry


Identification of quantitative trait loci (QTL) controlling resistance to pea weevil (Bruchus pisorum) in a high-density integrated DArTseq SNP-based genetic map of pea

January 2020

·

435 Reads

·

20 Citations

Scientific Reports

Pea weevil (Bruchus pisorum) is a damaging insect pest affecting pea (Pisum sativum) production worldwide. No resistant cultivars are available, although some levels of incomplete resistance have been identified in Pisum germplasm. To decipher the genetic control underlying the resistance previously identify in P. sativum ssp. syriacum, a recombinant inbred line (RIL F8:9) population was developed. The RIL was genotyped through Diversity Arrays Technology PL’s DArTseq platform and screened under field conditions for weevil seed infestation and larval development along 5 environments. A newly integrated genetic linkage map was generated with a subset of 6,540 markers, assembled into seven linkage groups, equivalent to the number of haploid pea chromosomes. An accumulated distance of 2,503 cM was covered with an average density of 2.61 markers cM−1. The linkage map allowed the identification of three QTLs associated to reduced seed infestation along LGs I, II and IV. In addition, a QTL for reduced larval development was also identified in LGIV. Expression of these QTLs varied with the environment, being particularly interesting QTL BpSI.III that was detected in most of the environments studied. This high-saturated pea genetic map has also allowed the identification of seven potential candidate genes co-located with QTLs for marker-assisted selection, providing an opportunity for breeders to generate effective and sustainable strategies for weevil control.


Identification of QTLs controlling resistance to rust, aphid and weevil in wild peas by DArTseq SNP-based technology

May 2019

·

30 Reads

·

2 Citations

em>Pisum sativum is the cool season grain legume most cultivated in Europe and the second in the world [1]. However, its yield is still relatively unstable and low due to the limited adaptability to extreme environmental conditions of available cultivars and their susceptibility to diseases and pests. We studied in the past resistance to a number of fungal diseases and parasitic weeds. Here we cover resistance to the biotrophic fungus Uromyces pisi, the causal agent of pea rust, and to the insect pests pea aphid ( Acyrthosiphon pisum ) and the pea weevil ( Bruchus pisorum ) [2] [3] [4]. Several studies have been performed, ranging from the screening of pea cultivars to the assessment of the mechanisms involved in the resistance. No complete resistance has been reported against these biotic stresses so far, but different levels of moderately incomplete resistance are available especially in the wild Pisum species. To unravel the genetic control of the resistance, a quantitative trait loci (QTL) analysis was performed using two recombinant inbred line (RIL F7:8) populations. The first one originated from a cross between two P. fulvum accessions, P660 and P651, while the second one originated from the cross between P. sativum ssp . syriacum accession P665 and P. sativum cv . Messire. Both RILs populations were phenotyped for resistance under controlled and field conditions, and genotyped through Diversity Arrays Technology PL’s DArTseq platform (Australia) [2]. The newly constructed integrated genetic linkage maps of wild peas includes high-quality DArT-Seq and SNPs derived-markers, as well as several previously mapped ”anchor” markers, which assembled in both cases in 7 Linkage Groups (LGs) and showed an average density lower than 2 markers cM-1. Genomic regions involved in resistance to rust, aphid and weevil will be presented and critically discussed.



Frequency distribution of rust severity (%) among the F7 RIL progenies derived from the P. fulvum cross (IFPI3260 × IFPI3251) under controlled conditions (DSchamb) and under field conditions at Córdoba (Spain) in the growing seasons 2013/14 (DSfie14), 2014/15 (DSfie15), and 2015/16 (DSfie16).
TABLE 2 | Map features of IFPI3260 × IFPI3251 linkage map.
Distribution of the DArT-seq-based and no-DArT-seq markers within each linkage group (LG) forming the map derived from the cross between P. fulvum IFPI3260 × IFPI3251. The x axis shows the LG and the y axis shows the genetic distance (cM).
Likelihood plots of the consistent quantitative trait loci (QTLs) for seedling and adult plant leaf rust resistance assessed under controlled conditions and field conditions for the linkage groups (LGs) II (A) and IV (B) of the genetic map of the IFPI3260 × IFPI3251 RIL population using MapQTL. Significant LOD thresholds were detected based on 1,000 permutations. Absolute positions (in cM) of the molecular markers along LGs are shown on the vertical axes. DSfie14, DSfie2015 and DSfie2016: % of disease severity at Córdoba (Spain) during seasons 2013–2014, 2014–2015, and 2015–2016, respectively; DSchamb: is the % of disease severity under controlled conditions.
Pearson's linear correlation coefficient between the response to U. pisi (disease severity = DS) assessed in seedlings under controlled conditions and in adult plants under field conditions at Córdoba (Spain) during 2013/14, 2014/15, and 2015/16 growing seasons.
A High-Density Integrated DArTseq SNP-Based Genetic Map of Pisum fulvum and Identification of QTLs Controlling Rust Resistance

February 2018

·

307 Reads

·

65 Citations

Pisum fulvum, a wild relative of pea is an important source of allelic diversity to improve the genetic resistance of cultivated species against fungal diseases of economic importance like the pea rust caused by Uromyces pisi. To unravel the genetic control underlying resistance to this fungal disease, a recombinant inbred line (RIL) population was generated from a cross between two P. fulvum accessions, IFPI3260 and IFPI3251, and genotyped using Diversity Arrays Technology. A total of 9,569 high-quality DArT-Seq and 8,514 SNPs markers were generated. Finally, a total of 12,058 markers were assembled into seven linkage groups, equivalent to the number of haploid chromosomes of P. fulvum and P. sativum. The newly constructed integrated genetic linkage map of P. fulvum covered an accumulated distance of 1,877.45 cM, an average density of 1.19 markers cM⁻¹ and an average distance between adjacent markers of 1.85 cM. The composite interval mapping revealed three QTLs distributed over two linkage groups that were associated with the percentage of rust disease severity (DS%). QTLs UpDSII and UpDSIV were located in the LGs II and IV respectively and were consistently identified both in adult plants over 3 years at the field (Córdoba, Spain) and in seedling plants under controlled conditions. Whenever they were detected, their contribution to the total phenotypic variance varied between 19.8 and 29.2. A third QTL (UpDSIV.2) was also located in the LGIVand was environmentally specific as was only detected for DS % in seedlings under controlled conditions. It accounted more than 14% of the phenotypic variation studied. Taking together the data obtained in the study, it could be concluded that the expression of resistance to fungal diseases in P. fulvum originates from the resistant parent IFPI3260.



Figure 1. Plotting of chickpea genotypes grown under winter and spring sowing conditions on two principal components (PC2 and PC3) related with sensory traits of boiled seeds.  
Table 5 . Loading coefficients after varimax rotation of seed quality characters of 20 chickpea genotypes on the six principal components (PC).
Environmental characteristics of the locations (Spain) where chickpea genotypes were evaluated during two campaigns under winter and spring sowing conditions.
Genotype and environment effects on sensory, nutritional, and physical traits in chickpea (Cicer arietinum L.)

December 2016

·

295 Reads

·

12 Citations

SPANISH JOURNAL OF AGRICULTURAL RESEARCH

The development of chickpea cultivars with high quality grains for human consumption is an important objective in breeding programs. Genotype and environment effects on seed quality traits (sensorial, nutritional and physical) were studied in chickpea dry grain. Twenty genotypes were grown in winter and spring sowings over two campaigns in four different locations in southern Spain. Significant differences were observed in oil, acid detergent fiber (ADF) and protein content between sowing times (S). In winter, oil and ADF content were higher, while protein content was lower. Although, in general, highly significant variation was detected for genotype (G), environment (E) and single interactions (GE, GS and ES), the genotype effect was stronger for ADF, neutral detergent fiber (NDF), oil, starch and protein content, and for physical and sensory traits (r2>27%). In contrast, environment played an important role in variation in the content of amylose and amylopectin (r2=71.7%). No high relationships were found between the sensory and nutritional or physical characteristics studied. In general, our results suggest a high genetic gain for seed quality in nutritional, physical and sensory traits in chickpea. Genotypes with good seed sensory quality should be selected in the final stages of the breeding program, because it is not feasible to evaluate very large numbers of samples. However, in some cases, moderate correlations were found between sensory and either nutritional or physical traits. Therefore, indirect selection to increase the frequency of genes for sensory traits in an early stage should be considered.


Percentage of disease severity (DS%) measured on foliar organs of different legume species in response to inoculation with D. pinodes isolate Dp-CO-99 under controlled conditions. Averages per species are presented. The bars indicate the standard deviation; different letters indicate significant differences (P = 0.01).
Disease severity (%) measured on whole plants of different legume species after infection by isolates of Didymella spp. under controlled conditions. Averages per species are presented: (A) pea (Pisum sativum), (B) tawny pea (P. fulvum), (C) white lupin (Lupinus albus), (D) clovers (Trifolium pratense, T. subterraneum, T. repens), (E) oneflower vetch (V. articulata), (F) medicks (Medicago orbicularis, M. truncatula), (G) lentil (Lens culinaris), (H) soybean (Glycine max), (I) common vetch (V. sativa), (J) grass pea (Lathyrus sativus), (K) sulla (Hedysarum coronarium), (L) chickpea (Cicer arietinum), (M) prinkly scorpion's tail (Scorpiorus muricatus), (N) faba bean (Vicia faba), (O) fenugreek (Trigonella foenum-graecum), (P) common bean (Phaseolus vulgaris). The bars indicate the standard deviation. Different letters indicate significant differences (P = 0.01).
Scattered diagram generated by principal component analysis (PCA) showing associations between Disease Severity and Disease Rating response performed by 13 isolates of Didymella spp. on 15 leguminous species. A short distance between plant accessions and fungal isolate in the component space is indicative in susceptibility of the plant/pathogen interaction.
TABLE 4 | Principal components for disease rating (DR) and disease severity (DS) values of 13 isolates of Didymella spp.
UPGMA dendrograms of 13 samples of Didymella spp. based on Dice distance for Internal Transcribed Spacer regions analysis.
Clarification on Host Range of Didymella pinodes the Causal Agent of Pea Ascochyta Blight

May 2016

·

313 Reads

·

37 Citations

Frontiers in Plant Science

Frontiers in Plant Science

Didymella pinodes is the principal causal agent of ascochyta blight, one of the most important fungal diseases of pea (Pisum sativum) worldwide. Understanding its host specificity has crucial implications in epidemiology and management; however, this has not been clearly delineated yet. In this study we attempt to clarify the host range of D. pinodes and to compare it with that of other close Didymella spp. D. pinodes was very virulent on pea accessions, although differences in virulence were identified among isolates. On the contrary, studied isolates of D. fabae, D. rabiei, and D. lentil showed a reduced ability to infect pea not causing macroscopically visible symptoms on any of the pea accessions tested. D. pinodes isolates were also infective to some extend on almost all species tested including species such as Hedysarum coronarium, Lathyrus sativus, Lupinus albus, Medicago spp., Trifolium spp., Trigonella foenum-graecum, and Vicia articulata which were not mentioned before as hosts of D. pinodes. On the contrary, D. lentil and D. rabiei were more specific, infecting only lentil and chickpea, respectively. D. fabae was intermediate, infecting mainly faba bean, but also slightly other species such as Glycine max, Phaseolus vulgaris, Trifolium spp., Vicia sativa, and V. articulata. DNA sequence analysis of the nuclear ribosomal internal transcribed spacer region (ITS) was performed to confirm identity of the isolates studies and to determine phylogenetic relationship among the Didymella species, revealing the presence of two clearly distinct clades. Clade one was represented by two supported subclusters including D. fabae isolates as well as D. rabiei with D. lentil isolates. Clade two was the largest and included all the D. pinodes isolates as well as Phoma medicaginis var. pinodella. Genetic distance between D. pinodes and the other Didymella spp. isolates was not correlated with overall differences in pathogenicity. Based on evidences presented here, D. pinodes is not specialized on pea and its host range is larger than that of D. fabae, D. lentil, and D. rabiei. This has relevant implications in epidemiology and control as these species might act as alternative hosts for D. pinodes.

Citations (6)


... Still, valuable sources of resistance have been identified in germplasm of most legume crops, including faba bean [107][108][109][110][111][112], pea [113][114][115], lentil [116][117][118], vetches [119][120][121][122][123][124][125][126][127], chickpea [128][129][130][131], grass pea and related Lathyrus species [132][133][134][135][136], or barrel medic [137,138], among other legume species. Some of these sources have been exploited in breeding programs, resulting in the release of resistant cultivars particularly in the case of faba bean [43,108] and pea [139][140][141][142]. ...

Reference:

Managing Root Parasitic Weeds to Facilitate Legume Reintroduction into Mediterranean Rain-Fed Farming Systems
Pea Breeding Lines Adapted to Autumn Sowings in Broomrape Prone Mediterranean Environments

Agronomy

... from rare to highly prevalent alleles and PIC values. Notably, the diversity captured by these markers surpassed that of SNP markers reported in previous studies on pea breeding lines (5,767 SNPs) (Alemu et al., 2022), pea wild-type collections (3,483 SNPs) (Barilli et al., 2018), and also in recombinant inbred lines of pea (6,540) (Aznar-Fernández et al., 2020). The reason for the higher diversity in this study may stem from the inclusion of a wide array of genotypes representing diverse ecological conditions and material types. ...

Identification of quantitative trait loci (QTL) controlling resistance to pea weevil (Bruchus pisorum) in a high-density integrated DArTseq SNP-based genetic map of pea

Scientific Reports

... This led to the discovery of extensive single-nucleotide polymorphic (SNPs) markers [265] with a huge potential for pea improvements [233]. These novel platforms have already guided the identification of heritable QTLs contributing to phenotypic variance in pea resistance breeding [102,[266][267][268]. These high-throughput techniques also enabled the quantitative elucidation of nematode population composition [269], and pea genetic diversity studies [270,271]. ...

Identification of potential candidate genes controlling pea aphid tolerance in a Pisum fulvum high‐density integrated DArTseq SNP‐based genetic map
Pest Management Science

Pest Management Science

... from rare to highly prevalent alleles and PIC values. Notably, the diversity captured by these markers surpassed that of SNP markers reported in previous studies on pea breeding lines (5,767 SNPs) (Alemu et al., 2022), pea wild-type collections (3,483 SNPs) (Barilli et al., 2018), and also in recombinant inbred lines of pea (6,540) (Aznar-Fernández et al., 2020). The reason for the higher diversity in this study may stem from the inclusion of a wide array of genotypes representing diverse ecological conditions and material types. ...

A High-Density Integrated DArTseq SNP-Based Genetic Map of Pisum fulvum and Identification of QTLs Controlling Rust Resistance
Frontiers in Plant Science

Frontiers in Plant Science

... Protein, CHO, and mineral content were mostly influenced by E, whereas oil was influenced by G (p < 0.001) ( Table 5). Similar results were found by Frimpong et al. (2009) for protein and CHO variance components, with a significantly higher E effect, and by Cobos et al. (2016) for oil content in chickpea genotypes growing in different environments. Our results disagree with those of Yegrem et al. (2022), who reported that CHO were significantly affected by G, and protein and oil by E, whereas mineral content was greatly affected by G × E interaction. ...

Genotype and environment effects on sensory, nutritional, and physical traits in chickpea (Cicer arietinum L.)

SPANISH JOURNAL OF AGRICULTURAL RESEARCH

... African elephants plant pathogens (Arenal et al., 2005;Barilli et al., 2016;Frenkel et al., 2010;Gonzalez-Menendez et al., 2017;Jellis & Punithalingam, 1991;Lee et al., 2021;Massimo et al., 2015;Meena et al., 2017;Prasongsuk et al., 2018;Thomma, 2003;Zhang et al., 2014). Indeed, the genera found as outliers in specific samples, Botryotrichium, Camasporium, Lasiobolus and Zygosaccharomyces, also shared these characteristics (Bezerra & Kimbrough, 1975;Crous & Groenewald, 2017;Huseyin et al., 2017;Iannotta et al., 1999Iannotta et al., , 2007Péter, 2021;Ryu et al., 2023;Wang et al., 2016). ...

Clarification on Host Range of Didymella pinodes the Causal Agent of Pea Ascochyta Blight
Frontiers in Plant Science

Frontiers in Plant Science