Abstract
Key message
Three robust QTL for dry bean cooking time shortened cooking time 11–26 min and co-localized with QTL for increased cooked seed protein concentration.
Abstract
Cooking time is a major factor associated with consumer preference of dry beans (Phaseolus vulgaris L.). The genetic control of cooking time was investigated with a quantitative trait loci (QTL) study on a recombinant inbred line (RIL) population developed from TZ-27 (slow cooking) and TZ-37 (fast cooking). The RIL population of 146 lines was grown on research farms over 2 years in Arusha and Morogoro, Tanzania. Arusha is an important mid-altitude bean-growing region, with moderate temperatures and reliable rainfall, whereas the low altitude and high temperatures in Morogoro make it unfavorable for bean production. The population exhibited large variation for cooking time with a range of 22–98 min. On average, beans grown in Arusha cooked 15 min faster than those grown in Morogoro. A linkage map developed with 1951 SNP markers was used for QTL analysis. Ten QTL were identified for cooking time, three of which were found in multiple environments. RILs with all three QTL (CT3.1, CT6.1, and CT11.2) cooked on average 11 min faster in Arusha and 26 min faster in Morogoro than RILs with none. Seed attributes were related to cooking time such that seeds with greater seed mass and less seed coat percentage cooked faster. Cooked seed protein concentration ranged from 17.8 to 30.8% across the years and locations. All three of the most robust cooking time QTL co-localized with QTL for protein concentration, and TZ-37 always contributed faster cooking time and increased protein concentration.




Similar content being viewed by others
References
AACCInternational (2012) Approved methods of analysis, 11th edn. Method 56-35.01. Method for determining water hydration capacity and percentage of unhydrated seeds of pulses. In: International A (ed) St. Paul, MN, USA
Agbo GN, Hosfield GL, Uebersax MA, Klomparens K (1987) Seed microstructure and its relationship to water uptake in isogenic lines and a cultivar of dry beans (Phaseolus vulgaris L.). Food Struct 6:12
Ahmad A, Masud T, Ahmed A, Bashir S (2014) Nutritional and health perspectives of beans (Phaseolus vulgaris L.): an overview. Crit Rev Food Sci Nutr 54:580–592
Akibode S, Maredia M (2011) Global and regional trends in production, trade and consumption of food legume crops. Department of Agricultural, Food and Resource Economics, Michigan State University, p 87
AOAC (2000) Official methods of analysis of AOAC International. AOAC Intl pv (loose-leaf), Arlington, VA
Atilola B (2018) Product attributes and consumer preference: the case of common beans in Zambia. Thesis dissertation, Kansas State University, pp 1–58
Avola G, Patanè C (2010) Variation among physical, chemical and technological properties in three Sicilian cultivars of Chickpea (Cicer arietinum L.). Int J Food Sci Technol 45:2565–2572
Bertoldo JG, Coimbra JLM, da Silveira CB, Toaldo D (2008) Efeito de diferentes concentrações salinas na redução do tempo de cocção de feijão (Phaseolus vulgaris L.). Biotemas 21:39–44
Binagwa P, Magdalena W, Michael K, Zakayo E, Mbiu J, Msaky J, Mdachi M, Kasubiri F, Kisamo A, Nestory S (2018) Selian Agricultural Research Institute (SARI) Released Seven Improved Common Bean Varieties SARI
Black R, Brouwer J, Meares C, Iyer L (1998) Variation in physico-chemical properties of field peas (Pisum sativum). Food Res Int 31:81–86
Bressani R, García-Soto A, Ligorría LE, Sosa JL (1988) Preliminary study of the factors that determine nutrient composition of bean-cooking broth. Plant Foods Hum Nutr 38:297–308
Browning BL, Browning SR (2009) A unified approach to genotype imputation and haplotype-phase inference for large data sets of trios and unrelated individuals. Am J Hum Genet 84:210–223
Chege C, Lungaho M, Ndungu J, Karanja D, Birachi E, Jager M (2016) Constraints of bean consumption by the base of pyramid (BoP) consumers in urban and peri-urban Nairobi, Kenya. In: Joint Pan-African grain legume and world cowpea conference 2016, AVANI victoria falls resort and conference center, 28 February–4 March 2016, Livingstone, Zambia
Chigwedere CM, Olaoye TF, Kyomugasho C, Kermani ZJ, Pallares AP, Van Loey AM, Grauwet T, Hendrickx ME (2018) Mechanistic insight into softening of Canadian wonder common beans (Phaseolus vulgaris) during cooking. Food Res Int 106:522–531
Choumert J, Motel PC, Le Roux L (2017) Energy ladder or energy stacking: a panel data analysis of Tanzanian households’ energy choices
CIAT (2015) Developing beans the can beat the heat. In: Agriculture ICfT (ed), Cali, Colombia
Cichy KA, Wiesinger JA, Mendoza FA (2015) Genetic diversity and genome-wide association analysis of cooking time in dry bean (Phaseolus vulgaris L.). Theor Appl Genet 128:1555–1567
Cichy KA, Wiesinger JA, Berry M, Nchimbi-Msolla S, Fourie D, Porch TG, Ambechew D, Miklas PN (2019) The role of genotype and production environment in determining the cooking time of dry beans (Phaseolus vulgaris L.). Legume Sci 1:1–15
Covarrubias-Pazaran G (2018) Quantitative genetics using the Sommer package. R Found Stat Comput, Vienna. https://cran.r-project.org/web/packages/sommer/vignettes/sommer.pdf. Accessed 22 Mar 2018
Diniz AL, Giordani W, Costa ZP, Margarido GR, Perseguini JMK, Benchimol-Reis LL, Chiorato AF, Garcia AAF, Vieira MLC (2019) Evidence for strong kinship influence on the extent of linkage disequilibrium in cultivated common beans. Genes 10:5
Elia FM, Hosfield GL, Kelly JD, Uebersax MA (1997) Genetic analysis and interrelationships between traits for cooking time, water absorption, and protein and tannin content of Andean dry beans. J Am Soc Hortic Sci 122:512–518
Escribano MR, Santalla M, De Ron A (1997) Genetic diversity in pod and seed quality traits of common bean populations from northwestern Spain. Euphytica 93:71–81
Garcia E, Filisetti TM, Udaeta JE, Lajolo FM (1998) Hard-to-cook beans (Phaseolus vulgaris): involvement of phenolic compounds and pectates. J Agric Food Chem 46:2110–2116
Garcia RAV, Rangel PN, Bassinello PZ, Brondani C, Melo LC, Sibov ST, Vianello-Brondani RP (2012) QTL mapping for the cooking time of common beans. Euphytica 186:779–792
Girvetz E, Ramirez-Villegas J, Claessens L, Lamanna C, Navarro-Racines C, Nowak A, Thornton P, Rosenstock TS (2019) Future climate projections in Africa: where are we headed?. In: The climate-smart agriculture papers. Springer, pp 15–27
Gloyer W (1921) Sclerema and hardshell, two types of hardness of the bean. In: Proceedings of the association of official seed analysts of North America. JSTOR, pp 60–60
Greiner R, Konietzny U (1998) Endogenous phytate-degrading enzymes are responsible for phytate reduction while preparing beans (Phaseolus vulgaris). J Food Process Preserv 22:321–331
Hillocks R, Madata CS, Chirwa R, Minja EM, Msolla S (2006) Phaseolus bean improvement in Tanzania, 1959–2005. Euphytica 150:215–231
Hoffmann H, Uckert G, Reif C, Müller K, Sieber S (2015) Traditional biomass energy consumption and the potential introduction of firewood efficient stoves: insights from western Tanzania. Reg Environ Change 15:1191–1201
Jacinto-Hernandez C, Azpiroz-Rivero S, Acosta-Gallegos JA, Hernandez-Sanchez H, Bernal-Lugo I (2003) Genetic analysis and random amplified polymorphic DNA markers associated with cooking time in common bean. Crop Sci 43:329–332
Jones DB (1931) Factors for converting percentages of nitrogen in foods and feeds into percentages of proteins. US Department of Agriculture, Washington
Joshi P, Rao PP (2017) Global pulses scenario: status and outlook. Ann N Y Acad Sci 1392:6–17
Kamfwa K, Cichy KA, Kelly JD (2015) Genome-wide association analysis of symbiotic nitrogen fixation in common bean. Theor Appl Genet 128:1999–2017
Kamfwa K, Cichy KA, Kelly JD (2019) Identification of quantitative trait loci for symbiotic nitrogen fixation in common bean. Theor Appl Genet 132:1375–1387
Katuuramu DN, Hart JP, Porch TG, Grusak MA, Glahn RP, Cichy KA (2018) Genome-wide association analysis of nutritional composition-related traits and iron bioavailability in cooked dry beans (Phaseolus vulgaris L.). Mol Breed 38:44
Kinyanjui PK, Njoroge DM, Makokha AO, Christiaens S, Ndaka DS, Hendrickx M (2015) Hydration properties and texture fingerprints of easy-and hard-to-cook bean varieties. Food Sci Nutr 3:39–47
Langmead B, Salzberg SL (2012) Fast gapped-read alignment with Bowtie 2. Nat Methods 9:357
Larochelle C, Katungi E, Cheng Z (2017) Pulse consumption and demand by different population subgroups in Uganda and Tanzania
Levison D, DeGraff DS, Dungumaro EW (2018) Implications of environmental chores for schooling: children’s time fetching water and firewood in Tanzania. Eur J Devel Res 30:217–234
Liu K, Bourne MC (1995) Cellular, biological, and physicochemical basis for the hard-to-cook defect in legume seeds. Crit Rev Food Sci Nutr 35:263–298
Lorieux M (2012) MapDisto: fast and efficient computation of genetic linkage maps. Mol Breed 30:1231–1235
Martin M (2011) Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet J 17:10–12
Massawe FA, Bengesi KM, Kweka AE (2015) Patterns of household cooking energy and associated factors: experience from Kilimanjaro region, Tanzania. Intersect Stanf J Sci Technol Soc 8:1–25
Mattson S (1946) The cookability of yellow peas. A colloid-chemical and biochemical study. Acta Agric Suec 2:185–231
Medard E (2017) Factors underlying common Beans’ (Phaseolus vulgaris L.) consumption decisions in Dar es Salaam, Tanzania. Sokoine University of Agriculture, Morogoro
Mfikwa AE, Kilima FT (2014) Factors influencing the consumption of pulses in rural and urban areas of Tanzania. Tanzan J Agric Sci 13:2
Mishili FJ, Temu A, Fulton J, Lowenberg-DeBoer J (2011) Consumer preferences as drivers of the common bean trade in Tanzania: a marketing perspective. J Int Food Agribus Market 23:110–127
Moghaddam SM, Mamidi S, Osorno JM, Lee R, Brick M, Kelly J, Miklas P, Urrea C, Song Q, Cregan P (2016) Genome-wide association study identifies candidate loci underlying agronomic traits in a Middle American diversity panel of common bean. Plant Genome 9:3
Mukankusi C, Raatz B, Nkalubo S, Berhanu F, Binagwa P, Kilango M, Williams M, Enid K, Chirwa R, Beebe S (2018) Genomics, genetics and breeding of common bean in Africa: a review of tropical legume project. Plant Breed 138:401–414
O’Rourke JA, Iniguez LP, Fu F, Bucciarelli B, Miller SS, Jackson SA, McClean PE, Li J, Dai X, Zhao PX (2014) An RNA-Seq based gene expression atlas of the common bean. BMC Genom 15:866
Perea C, De La Hoz JF, Cruz DF, Lobaton JD, Izquierdo P, Quintero JC, Raatz B, Duitama J (2016) Bioinformatic analysis of genotype by sequencing (GBS) data with NGSEP. BMC Genom 17:498
Reyes-Moreno C, Paredes-López O, Gonzalez E (1993) Hard-to-cook phenomenon in common beans—a review. Crit Rev Food Sci Nutr 33:227–286
Schröder S, Mamidi S, Lee R, McKain MR, McClean PE, Osorno JM (2016) Optimization of genotyping by sequencing (GBS) data in common bean (Phaseolus vulgaris L.). Mol Breed 36:6
Sparvoli F, Bollini R, Cominelli E (2015) Nutritional value. In: Grain legumes. Springer, pp 291–325
Stanley D (1992) A possible role for condensed tannins in bean hardening. Food Res Int 25:187–192
Thornton PK, Jones PG, Alagarswamy G, Andresen J (2009) Spatial variation of crop yield response to climate change in East Africa. Glob Environ Change 19:54–65
Thornton PK, Jones PG, Alagarswamy G, Andresen J, Herrero M (2010) Adapting to climate change: agricultural system and household impacts in East Africa. Agric Syst 103:73–82
Voorrips R (2002) MapChart: software for the graphical presentation of linkage maps and QTLs. J Hered 93:77–78
Wang N, Daun JK (2005) Determination of cooking times of pulses using an automated Mattson cooker apparatus. J Sci Food Agric 85:1631–1635
Wang N, Daun JK, Malcolmson LJ (2003) Relationship between physicochemical and cooking properties, and effects of cooking on antinutrients, of yellow field peas (Pisum sativum). J Sci Food Agric 83:1228–1237
Wang S, Basten C, Zeng Z (2005) Windows QTL cartographer version 2.5. Statistical Genetics North Carolina State University, Raleigh
Wang N, Hatcher D, Tyler R, Toews R, Gawalko E (2010) Effect of cooking on the composition of beans (Phaseolus vulgaris L.) and chickpeas (Cicer arietinum L.). Food Res Int 43:589–594
Wei T, Simko V (2017) R package “corrplot”: visualization of a correlation matrix (version 0.84). https://github.com/taiyun/corrplot
Wickham H (2016) ggplot2: elegant graphics for data analysis. Springer, Berlin
Wiesinger JA, Cichy KA, Glahn RP, Grusak MA, Brick MA, Thompson HJ, Tako E (2016) Demonstrating a nutritional advantage to the fast-cooking dry bean (Phaseolus vulgaris L.). J Agric Food Chem 64:8592–8603
Wiesinger J, Cichy K, Tako E, Glahn R (2018) The fast cooking and enhanced iron bioavailability properties of the Manteca yellow bean (Phaseolus vulgaris L.). Nutrients 10:1609
Wood JA (2017) Evaluation of cooking time in pulses: a review. Cereal Chem 94:32–48
Yeung H, Ehlers J, Waniska R, Alviola J, Rooney L (2009) Rapid screening methods to evaluate cowpea cooking characteristics. Field Crops Res 112:245–252
Acknowledgements
The authors would like to thank the US Borlaug Global Food Security Program for providing funding that allowed research to be conducted in Tanzania. The staff of Sokoine University of Agriculture and Selian Agricultural Research Institute were invaluable in the assistance they provided for this project.
Author information
Authors and Affiliations
Contributions
MB collected and analyzed data and wrote the manuscript. SNM designed field trials in Tanzania. PI analyzed data and contributed to writing the manuscript. HJ conducted the QTL validation. SS conducted DNA extraction and GBS library preparation. KC designed the research, analyzed data, and contributed to writing and editing the manuscript.
Corresponding author
Ethics declarations
Conflict of interest
On behalf of all authors, the corresponding author states that there is no conflict of interest.
Additional information
Communicated by Brian Diers.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Berry, M., Izquierdo, P., Jeffery, H. et al. QTL analysis of cooking time and quality traits in dry bean (Phaseolus vulgaris L.). Theor Appl Genet 133, 2291–2305 (2020). https://doi.org/10.1007/s00122-020-03598-w
Received:
Accepted:
Published:
Version of record:
Issue date:
DOI: https://doi.org/10.1007/s00122-020-03598-w

