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Caviano: black bean cultivar with large root system and wide adaptability

Abstract

‘Caviano’ is a black bean cultivar recommended for Santa Catarina, for being highly adaptable to the main grain-producing regions of the state (mean grain yield 2315 kg ha-1). Compared to previously released cultivars, Caviano has a larger root system and desirable characteristics for mechanical harvesting.

Keywords:
Phaseolus vulgaris L.; induced mutation; root distribution; adaptive traits.

INTRODUCTION

For the Brazilian population, common bean (Phaseolus vulgaris L.) is a staple food and an important protein source. Currently, Brazil is considered the largest producer and consumer of common bean. On an estimated acreage of 2.8 million hectares, 3.1 million tons of grain are produced, equivalent to a grain yield of 1113 kg ha-1 (CONAB 2022CONAB - Companhia Nacional de Abastecimento2022 Acompanhamento da safra brasileira: Grãos, safra 2021/22, 8o Levantamento. Available at <Available at https://www.conab.gov.br/info-agro/safras >. Accessed on May 17, 2022.
https://www.conab.gov.br/info-agro/safra...
). However, bean cultivation has been hampered by challenges that limit the productive potential (Daryanto et al. 2015DaryantoSWangLJacinthePA2015 Global synthesis of drought effects on food legume production. PLoS ONE 10:e0127401). One of these is sensitivity to abiotic stresses in the extremely varied cultivation environments. On these grounds, all over the world root-related characteristics have become a research focus (Burridge et al. 2016BurridgeJJochuaCNBuckschALynchJP2016 Legume shovelomics: High-throughput phenotyping of common bean (Phaseolus vulgaris L.) and cowpea (Vigna unguiculata subsp, unguiculata) root architecture in the field. Field Crops Research 192:21-32, Burridge et al. 2019, Polania et al. 2017PolaniaJPoschenriederCRaoIBeebeS2017 Root traits and their potential links to plant ideotypes to improve drought resistance in common bean. Theoretical and Experimental Plant Physiology 29:143-154).

The root system is extremely important, since it determines the soil volume that can be explored and, consequently, the water and nutrient uptake, which are decisive for the adaptation of a genotype to an agroecosystem (Lynch 2018LynchJP2018 Rightsizing root phenotypes for drought resistance. Journal of Experimental Botany 69:3279-3292, Burridge et al. 2019BurridgeJDFindeisJLJochuaCNMiguelMAMubichi-KutFMQuinhentosMLXerindaSALynchJP2019 A case study on the efficacy of root phenotypic selection for edaphic stress tolerance in low-input agriculture: Common bean breeding in Mozambique. Field Crops Research 244:107612). If this trait is not considered in breeding, the probability increases that specialized genotypes for highly favorable environments are developed that lack plasticity and, consequently, underperform under stress. Nevertheless, the evaluation of root characteristics has not yet become a routine procedure in common bean breeding programs.

One of the possibilities of generating useful genetic variability for root breeding is induced mutation (Rocha et al. 2010RochaFCoanMMDCoimbraJLMBertoldoJGGuidolinAFKoppMM2010 Root distribution in common bean populations used in breeding programs. Crop Breeding and Applied Biotechnology 10:40-47). This technique is useful in the area of ​​plant breeding, for being capable of altering a genotype only slightly, in contrast to the procedures based on crosses between genetically distinct genotypes (Coimbra et al. 2007CoimbraJLMSchwantesDBertoldoJGKoppMM2007 Induction of genetic variability in oat. Crop Breeding and Applied Biotechnology 7:212-220). Thus, the release of a cultivar from induced mutation, adapted to the local growing conditions and with a large root system, could be an alternative for common bean producers. In this sense, cultivar “Caviano” (in honor of the Center of Agroveterinary Science - CAV) was developed from the original cultivar IPR 88 Uirapuru by gamma irradiation. It has a mean grain yield above the state average, wide adaptability to the main common bean growing environments of the state and the particular advantage of an extensive root system.

BREEDING METHOD

Cultivar Caviano was developed from seeds of cv. IPR 88 Uirapuru, irradiated at the Oncology Unit of the Federal University of Pelotas (UFPel), Pelotas, Rio Grande do Sul, Brazil, in 2007. Seeds (250 g) of four cultivars (IPR 88 Uirapuru, IPR Chopim, BRS Pérola and Iapar 81) were irradiated with gamma rays of a mutagenic agent (Cobalt-60). First, the response to total absorbed doses of 0, 100, 200 and 400 grays (Gy) of all four cultivars was evaluated. The dose of 400 Gy was considered lethal, and only the populations irradiated at 100 and 200 Gy were maintained. In this way, eight M1 populations (first mutant generation) were established. After irradiation, the M1 seeds were washed under tap water and sown in the field, growing to approximately 600 plants per mutant population, on the fields of the Institute for Breeding and Molecular Genetics (IMEGEM) of the State University of Santa Catarina (UDESC-CAV), in Lages, Santa Catarina, Brazil, in the 2007/08 growing season.

The harvested M1 plants and the generations in each subsequent selfed cycle were named in ascending order (subscript number). Since physiological and genetic effects were observed in the first generation, no selection was carried out. Thereafter, each M1 population was bulk-harvested to generate the M2 population (Bulk selection method). The procedure was repeated up to generation M5 to establish populations with a high homozygosity level. In this period, the mutant populations and original cultivars were planted in replicated experiments, at commercial density (12 - 15 plants m-1 or about 200 plants plot-1). The plants of these experiments were sampled to evaluate traits of agronomic interest such as: stem diameter, plant height, first pod insertion height, mean pod length, mean number of grains per pod and number of pods per plant. In addition, the plants were evaluated for root distribution in the field, which is still a rather rare measurement in common bean breeding programs. Two mutant populations had a particularly well-developed root system in the surface (0-10 cm) and intermediate (11-20 cm) soil layers (Rocha et al. 2010RochaFCoanMMDCoimbraJLMBertoldoJGGuidolinAFKoppMM2010 Root distribution in common bean populations used in breeding programs. Crop Breeding and Applied Biotechnology 10:40-47). To determine the traits mentioned above, 298 M5 plants were harvested separately (50% of the seeds were stored away and 50% sown in individual rows in the next generation). Two additional selection cycles were carried out to eliminate phenotypically inferior plants.

In the 2012/13 growing season, the 77 best mutant lines (in generations M5, M6 or M7) were selected for grain yield components. These mutant populations, together with other genotypes from the IMEGEM breeding program (25 segregating genotypes from hybridization) and 5 commercial cultivars (IPR 88 Uirapuru, IPR Chopim, BRS Pérola, Iapar 81 and BRS Campeiro) were included in a preliminary assay with 100 treatments in Lages, in the 2013/14 growing season. The experiment was arranged in Federer's augmented block design, with five replications. Each plot consisted of four 4-m rows, spaced 0.45m apart, with a total of 240 plants per plot or a density of 15 plants m-1. Five plants were sampled to measure the adaptive traits and the grain yield produced on the evaluated plot area (3.6 m²). To consider the traits simultaneously, the Smith and Hazel selection index was used, assigning weight to the selection criteria: plant height, first pod insertion height, stem diameter, number of pods per plant, number of grains per plant, 1000-grain weight and grain yield. Based on this index, 15 genotypes were selected, including a candidate line for registration, for which desirable traits for mechanical harvesting were recorded.

These genotypes together with commercial cultivars were further evaluated in preliminary tests over three growing seasons (2014/15 to 2016/17) in Lages/SC, to assess the agronomic performance and adaptability. The experiments were arranged in complete blocks with three replications. Each plot consisted of four 4-m rows, spaced 0.45m apart, with a total of 240 plants per plot or a density of 15 plants m-1. At the end of the period, the fixed mutant population, resulting from irradiation of cv. IPR 88 Uirapuru at 100 Gy (experimental denomination UDESC|CAV17.EFM0006 "PMU_100 M8"), was indicated for the tests for Value for Cultivation and Use (VCU). In this way, it was included in the state evaluation network of plant lines, coordinated by the Company of Agricultural Research and Rural Extension of Santa Catarina (EPAGRI), in the growing seasons of 2018/19 and 2020/21, at six locations. Simultaneously, to validate the recommendation, the line was planted in a so-called Strip Test, on the property of ​​a rural producer in the county of Campo Belo do Sul (high-altitude region of Santa Catarina), under the routine management practices of the farmer.

An evaluation of the criteria of Distinguishability, Homogeneity and Stability (DHS) confirmed that the mutant population UDESC|CAV17.EFM0006 has differentiating characteristics from the already registered original cultivar (IPR 88 Uirapuru) and that these traits are stable and homogeneous.

The population also proved to be well-adapted, mainly to the rainy season, and produced grain yields equivalent (5% probability) to the commercial cultivars tested (BRS Campeiro and IPR Tuiuiú). Owing to the superior agronomic traits and good performance recorded in the state evaluation network of plant lines, UDESC|CAV17.EFM0006 was registered in 2022 under the commercial name Caviano.

CHARACTERISTICS OF THE CULTIVAR

The plant architecture of cv. Caviano is semi-upright, the growth habit indeterminate and vine length short. The cultivar belongs to the black bean group and 1000 seeds weigh 200 g. The total cycle (from emergence to physiological maturity) lasts 88 days.

Root distribution in the field

Among the characters considered for the evaluation of cv. Caviano, root distribution is worth mentioning. This trait was measured in the field by the soil excavation method (Böhm 1979BöhmW1979 Methods of studying root systems. Springer-Verlag, New York, 188p). By this methodology, perpendicular profiles (width 0.50 m, depth 0.30 m) were opened at a distance of 0.05 m from the plant row and the roots were exposed by cleaning with pocketknives and brushes. In the clean profile, a grid template (60 squares) of the same size as the trench was inserted immediately close to the roots. Subsequently, a picture of the template with the profile underneath was taken, for a quantitative assessment of root distribution, by assigning presence (1) or absence (0) of “root units” to each square (Figure 1).

Figure 1
Steps to evaluate root distribution by the soil excavation method: a) Opening of a profile in the soil next to plants, perpendicular to plant row, leaving plants in the soil; b) Cleaning of profile inside by removing excess soil in-between roots and insertion of a grid template, with the same size as the profile (width 0.50, depth 0.30 m), with 60 squares; c) Photographing of the template + the profile underneath and determination of root presence or absence (1 or 0, respectively) in each square, indicating the root percentage per plant.

Given the nature of the response variable (count data) and its respective distribution, the trait was extensively evaluated using Generalized Linear Models. Among the populations generated by induced mutation, cv. Caviano (PMU.100) stood out with higher values ​​of root distribution, at all depths assessed (Table 1). In fact, the observed values ​​exceeded those of the original cultivar (IPR 88 Uirapuru), indicating positive effects of mutation on breeding for this trait.

Table 1
Observed (X-O) and transformed (X-T) means (ρ = ln (x- /1 - x-)) of the trait root distribution of cv IPR 88 Uirapuru and the populations derived by induced mutation.

Grain yield and genotypic adaptability

Cultivar Caviano had a mean grain yield of 2315 kg ha-1 and a yield potential of 4200 kg ha-1. In the evaluation environments, the performance of the new black bean cultivar was statistically equivalent to that of the check cultivars (BRS Campeiro and IPR Tuiuiú), particularly in the rainy season (Table 2). In addition, in environments with a lower expected grain yield (dry season), the percentage reduction of cv. Caviano was lower (-16%) than that of cultivar SCS204 Predileto (-28%), which was the genotype with the highest grain yield of the commercial black bean cultivars. This result indicates the capacity of cv. Caviano to maintain the mean grain yield even under stressful growing conditions.

The positive results regarding the mean grain yield reflected in estimates considered ideal for the parameter genotype adaptability. Based on the values ​​estimated by linear regression, Caviano was classified as a cultivar with wide adaptability (β = 1), as similarly observed for the check cultivars (Table 3). The significant regression deviation (σd2) of cv. Caviano indicates that the genotypic performance may vary depending on the cultivation environment, thus reducing predictability (Vencovsky and Barriga 1992VencovskyRBarrigaP1992 Genética biométrica no fitomelhoramento. Sociedade Brasileira de Genética, Ribeirão Preto, 496p). However, this can be explained by the better root distribution of cv. Caviano. Under restrictive cultivation conditions, the cultivar tends to increase the root system to maintain the mean yield. For this reason, the grain yield differed between the “dry” and “rainy” environments. Under water stress, most leguminous crops develop mechanisms that favor an increase in the root system, to the detriment of shoot growth (Subbarao et al. 1995SubbaraoGVJohansenCSlinkardAERaoNSaxenaNPChauhanYS1995 Strategies for improving drought resistance in grain legumes. Critical Reviews in Plant Sciences 14:469-523).

Table 2
Grain yield (kg ha-1) of cultivar Caviano and the check cultivars (BRS Campeiro and IPR Tuiuiú) for each evaluated location, season and growing season in the state of Santa Catarina
Table 3
Genotypic adaptability (β) and stability (σd2) parameters estimated by linear regression

Suitability for mechanical harvesting

Among the relevant traits for breeding, those related to plant architecture are essential to ensure an adequate functioning of mechanical harvesting. In this regard, the estimates for the agronomic traits first pod insertion height and stem diameter (21.3 and 6.5 mm, respectively) of cv. Caviano were significantly superior to those of the original cultivar IPR 88 Uirapuru (14.6 and 5.1 mm, respectively), at 5% error probability by the t test.

BASIC SEED PRODUCTION

Cultivar Caviano was registered on February 1, 2022 by the National Register of Cultivars - Ministry of Agriculture, Livestock and Supply (RNC-MAPA), under number 48627. The Center of Agroveterinary Science (CAV) of the State University of Santa Catarina (UDESC) will be responsible for the production of basic seed.

CONCLUSIONS

Cultivar Caviano has a mean grain yield of 2315 kg ha-1 and is widely adaptable to the main bean-producing regions of Santa Catarina, above all in the rainy season. An advantageous trait of this black bean cultivar is the larger root system.

ACKNOWLEDGMENTS

The authors thank the Oncology Unit of the Universidade Federal de Pelotas (UFPel), headed by Dr. Altair Faes, for all his support in the breeding of genotypes derived from induced mutation; the Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (EPAGRI), for the cooperation in growing and evaluating lines in Tests for Value of Cultivation and Use (VCU); we thank our friend Professor Olivio Ciprandi, for providing an area to perform the Strip Test; and are indebted to the Universidade do Estado de Santa Catarina (UDESC), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina (FAPESC), for scholarships and research funding.

REFERENCES

  • BöhmW1979 Methods of studying root systems. Springer-Verlag, New York, 188p
  • BurridgeJJochuaCNBuckschALynchJP2016 Legume shovelomics: High-throughput phenotyping of common bean (Phaseolus vulgaris L.) and cowpea (Vigna unguiculata subsp, unguiculata) root architecture in the field. Field Crops Research 192:21-32
  • BurridgeJDFindeisJLJochuaCNMiguelMAMubichi-KutFMQuinhentosMLXerindaSALynchJP2019 A case study on the efficacy of root phenotypic selection for edaphic stress tolerance in low-input agriculture: Common bean breeding in Mozambique. Field Crops Research 244:107612
  • CoimbraJLMSchwantesDBertoldoJGKoppMM2007 Induction of genetic variability in oat. Crop Breeding and Applied Biotechnology 7:212-220
  • CONAB - Companhia Nacional de Abastecimento2022 Acompanhamento da safra brasileira: Grãos, safra 2021/22, 8o Levantamento. Available at <Available at https://www.conab.gov.br/info-agro/safras >. Accessed on May 17, 2022.
    » https://www.conab.gov.br/info-agro/safras
  • DaryantoSWangLJacinthePA2015 Global synthesis of drought effects on food legume production. PLoS ONE 10:e0127401
  • LynchJP2018 Rightsizing root phenotypes for drought resistance. Journal of Experimental Botany 69:3279-3292
  • PolaniaJPoschenriederCRaoIBeebeS2017 Root traits and their potential links to plant ideotypes to improve drought resistance in common bean. Theoretical and Experimental Plant Physiology 29:143-154
  • RochaFCoanMMDCoimbraJLMBertoldoJGGuidolinAFKoppMM2010 Root distribution in common bean populations used in breeding programs. Crop Breeding and Applied Biotechnology 10:40-47
  • SubbaraoGVJohansenCSlinkardAERaoNSaxenaNPChauhanYS1995 Strategies for improving drought resistance in grain legumes. Critical Reviews in Plant Sciences 14:469-523
  • VencovskyRBarrigaP1992 Genética biométrica no fitomelhoramento. Sociedade Brasileira de Genética, Ribeirão Preto, 496p

Publication Dates

  • Publication in this collection
    05 Aug 2022
  • Date of issue
    2022

History

  • Received
    27 Mar 2022
  • Accepted
    17 June 2022
  • Published
    27 June 2022
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