Drought-tolerant Common Bush Bean Physiological Parameters as Indicators to Identify Susceptibility

Sánchez-Reinoso, Alefsi David; Moreno, Guillermo Palao; Restrepo-Díaz, Hermann

doi:10.21273/hortsci14436-19

Cited by 6 publications

(7 citation statements)

References 24 publications

(29 reference statements)

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“…After all, chlorophyll as a pivotal photosynthetic pigment on which plant growth and productivity depend [60,61], is considered a hallmark index to plant health estimation [62][63][64]. Low chlorophyll content may mean exposure to biotic and/or abiotic stresses, diseases, and senescence [65][66][67], and provides significant information about plant photosynthetic potential and primary production.…”

Section: Introductionmentioning

confidence: 99%

Estimating Productivity, Detecting Biotic Disturbances, and Assessing the Health State of Traditional Olive Groves, Using Nondestructive Phenotypic Techniques

Zevgolis¹,

Kamatsos²,

Akriotis³

et al. 2021

Sustainability

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Conservation of traditional olive groves through effective monitoring of their health state is crucial both at a tree and at a population level. In this study, we introduce a comprehensive methodological framework for estimating the traditional olive grove health state, by considering the fundamental phenotypic, spectral, and thermal traits of the olive trees. We obtained phenotypic information from olive trees on the Greek island of Lesvos by combining this with in situ measurement of spectral reflectance and thermal indices to investigate the effect of the olive tree traits on productivity, the presence of the olive leaf spot disease (OLS), and olive tree classification based on their health state. In this context, we identified a suite of important features, derived from linear and logistic regression models, which can explain productivity and accurately evaluate infected and noninfected trees. The results indicated that either specific traits or combinations of them are statistically significant predictors of productivity, while the occurrence of OLS symptoms can be identified by both the olives’ vitality traits and by the thermal variables. Finally, the classification of olive trees into different health states possibly offers significant information to explain traditional olive grove dynamics for their sustainable management.

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Section: Introductionmentioning

confidence: 99%

Estimating Productivity, Detecting Biotic Disturbances, and Assessing the Health State of Traditional Olive Groves, Using Nondestructive Phenotypic Techniques

Zevgolis¹,

Kamatsos²,

Akriotis³

et al. 2021

Sustainability

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“…Both P. acutifolius and its wild relative P. parvifolius, have similar physiological responses most likely due to the similar ecogeographic distribution of both species, associated with the arid areas of southern USA and northern Mexico (Freytag and Debouck, 2002). Similarly, the above-mentioned descriptors are closely related to photosynthetic efficiency and are recognizedin some scenarios -as indicators of abiotic stress resistance of individual accessions (Sańchez-Reinoso et al, 2019;Guidi et al, 2019). P. vulgaris usually exhibits higher sensitivity to drought stress compared to more resistant P. acutifolius (Rao et al, 2013;Polania et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Using phenomics to identify and integrate traits of interest for better-performing common beans: A validation study on an interspecific hybrid and its Acutifolii parents

et al. 2022

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IntroductionEvaluations of interspecific hybrids are limited, as classical genebank accession descriptors are semi-subjective, have qualitative traits and show complications when evaluating intermediate accessions. However, descriptors can be quantified using recognized phenomic traits. This digitalization can identify phenomic traits which correspond to the percentage of parental descriptors remaining expressed/visible/measurable in the particular interspecific hybrid. In this study, a line of P. vulgaris, P. acutifolius and P. parvifolius accessions and their crosses were sown in the mesh house according to CIAT seed regeneration procedures.MethodologyThree accessions and one derived breeding line originating from their interspecific crosses were characterized and classified by selected phenomic descriptors using multivariate and machine learning techniques. The phenomic proportions of the interspecific hybrid (line INB 47) with respect to its three parent accessions were determined using a random forest and a respective confusion matrix.ResultsThe seed and pod morphometric traits, physiological behavior and yield performance were evaluated. In the classification of the accession, the phenomic descriptors with highest prediction force were Fm’, Fo’, Fs’, LTD, Chl, seed area, seed height, seed Major, seed MinFeret, seed Minor, pod AR, pod Feret, pod round, pod solidity, pod area, pod major, pod seed weight and pod weight. Physiological traits measured in the interspecific hybrid present 2.2% similarity with the P. acutifolius and 1% with the P. parvifolius accessions. In addition, in seed morphometric characteristics, the hybrid showed 4.5% similarity with the P. acutifolius accession.ConclusionsHere we were able to determine the phenomic proportions of individual parents in their interspecific hybrid accession. After some careful generalization the methodology can be used to: i) verify trait-of-interest transfer from P. acutifolius and P. parvifolius accessions into their hybrids; ii) confirm selected traits as “phenomic markers” which would allow conserving desired physiological traits of exotic parental accessions, without losing key seed characteristics from elite common bean accessions; and iii) propose a quantitative tool that helps genebank curators and breeders to make better-informed decisions based on quantitative analysis.

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“…Finally, considering a darkadapted leaf, the fraction of absorbed photons that was used for chemistry (Fv/Fm) was 0.775 with any variation between the light treatments and between the cultivars (Table 5). 1 Significance of F: ns = not significant for p ≤ 0.05; * = significant for p ≤ 0.05; ** significant for p ≤ 0.01 and *** significant for p ≤ 0.001.…”

Section: Physiological Parameters: Photosynthesis Chlorophyll Content and Chlorophyll Fluorescencementioning

confidence: 99%

“…Green bean (Phaseolus vulgaris L.) is the most consumed grain legume in the world and has an important role in human diet, due to its high protein and mineral content [1]. For such reason, and because it gets high prices on the market, it is cultivated all year round, usually in greenhouses.…”

Section: Introductionmentioning

confidence: 99%

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Soilless System with Supplementary LED Light to Obtain a High-Quality Out-of-Season Production of Green Beans

et al. 2021

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Green bean (Phaseolus vulgaris L.) is one of the most important sources of vegetable proteins in the world and it is cultivated all year round, but the light availability, during the dark season, limited its growth. Nevertheless, recent studies conducted on greenhouse horticulture demonstrated that, with the application of light emitting diodes (LEDs) as supplementary light (SL) technology, it is possible to overcome this limitation. Consequently, during the experiment conducted, two cultivars of green bean (‘Saporro’ and ‘Maestrale’) were grown with a soilless system in a cold greenhouse during the fall-winter period. To increase the photoperiod and the daily light integral (DLI), early in the morning, four hours of red (R), blue (B) and red+blue (R+B) supplementary light were supplied by LEDs at 180 μmol·m−2·s−1 (PPFD) at plants level. Plants grown under LEDs improved the yield and the gas exchange system compared with the plants grown under natural light; when B light was supplied as a sole source of SL, it increased the dry matter content and the brightness (L*) of the pods. Between the cultivars, ‘Maestrale’ produced 20 g∙plant−1 of pods more than ‘Saporro’ but the latter’s colour was brighter (L*) and greener (a*), and ‘Saporro’ also showed the highest photosynthetic efficiency (ΦPSII). In conclusion, ‘Maestrale’ and ‘Saporro’ obtained encouraging out-of-season yields under different LED spectra, but among those B light seems to improve overall crop performances and pods quality.

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Drought-tolerant Common Bush Bean Physiological Parameters as Indicators to Identify Susceptibility

Cited by 6 publications

References 24 publications

Estimating Productivity, Detecting Biotic Disturbances, and Assessing the Health State of Traditional Olive Groves, Using Nondestructive Phenotypic Techniques

Estimating Productivity, Detecting Biotic Disturbances, and Assessing the Health State of Traditional Olive Groves, Using Nondestructive Phenotypic Techniques

Using phenomics to identify and integrate traits of interest for better-performing common beans: A validation study on an interspecific hybrid and its Acutifolii parents

Soilless System with Supplementary LED Light to Obtain a High-Quality Out-of-Season Production of Green Beans

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