Genome-wide association study for yield and quality of granulated cassava processed product.


Journal

The plant genome
ISSN: 1940-3372
Titre abrégé: Plant Genome
Pays: United States
ID NLM: 101273919

Informations de publication

Date de publication:
16 Jun 2024
Historique:
revised: 27 04 2024
received: 09 10 2023
accepted: 03 05 2024
medline: 17 6 2024
pubmed: 17 6 2024
entrez: 16 6 2024
Statut: aheadofprint

Résumé

The starchy storage roots of cassava are commonly processed into a variety of products, including cassava granulated processed products (gari). The commercial value of cassava roots depends on the yield and quality of processed products, directly influencing the acceptance of new varieties by farmers, processors, and consumers. This study aims to estimate genetic advance through phenotypic selection and identify genomic regions associated and candidate genes linked with gari yield and quality. Higher single nucleotide polymorphism (SNP)-based heritability estimates compared to broad-sense heritability estimates were observed for most traits highlighting the influence of genetic factors on observed variation. Using genome-wide association analysis of 188 clones, genotyped using 53,150 genome-wide SNPs, nine SNPs located on seven chromosomes were significantly associated with peel loss, gari yield, color parameters for gari and eba, bulk density, swelling index, and textural properties of eba. Future research will focus on validating and understanding the functions of identified genes and their influence on gari yield and quality traits.

Identifiants

pubmed: 38880944
doi: 10.1002/tpg2.20469
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e20469

Subventions

Organisme : Bill & Melinda Gates Foundation
ID : INV-007637
Pays : United States
Organisme : Deutscher Akademischer Austauschdienst

Informations de copyright

© 2024 The Author(s). The Plant Genome published by Wiley Periodicals LLC on behalf of Crop Science Society of America.

Références

Abass, A. B., Dziedzoave, N. T., Alenkhe, B. E., & James, B. D. (2013). Quality management manual for the production of gari. International Institute of Tropical Agriculture.
Adjebeng‐Danquah, J., Manu‐Aduening, J., Gracen, V. E., Asante, I. K., & Offei, S. K. (2017). AMMI stability analysis and estimation of genetic parameters for growth and yield components in cassava in the forest and guinea savannah ecologies of Ghana. International Journal of Agronomy, 2017, Article 8075846. https://doi.org/10.1155/2017/8075846
Aghogho, C. I., Eleblu, S. J., Bakare, M. A., Kayondo, S. I., Asante, I., Parkes, E., Kulakow, P., Offei, S., & Rabbi, I. Y. (2022). Genetic variability and genotype by environment interaction of two major cassava processed products in multi‐environments. Frontiers in Plant Science, 13, 974795. https://doi.org/10.3389/fpls.2022.974795 mmkckfffd
Aghogho, C. I., Kayondo, S. I., Maziya‐Dixon, B., Eleblu, S. J., Asante, I., Offei, S. K., & Rabbi, I. Y. (2023). Exploring genetic variability, heritability, and trait correlations in gari and eba quality from diverse cassava varieties in Nigeria. Journal of the Science of Food and Agriculture, 10–12. https://doi.org/10.1002/jsfa.12889
Akinwale, M. G., Akinyele, B. O., Dixon, A. G. O., & Odiyi, A. C. (2010). Genetic variability among forty‐three cassava genotypes in three agro‐ecological zones of Nigeria. Journal of Plant Breeding and Crop Science, 2(5), 104–109.
Almazan, A. M. (1992). Influence of cassava variety and storage on gari quality. Tropical Agriculture, 69(4), 386–390.
Auffret, A., Ralet, M. C., Guillon, F., Barry, J. L., & Thibault, J. F. (1994). Effect of grinding and experimental conditions on the measurement of hydration properties of dietary fibres. LWT‐Food Science and Technology, 27(2), 166–172. https://doi.org/10.1006/fstl.1994.1033
Awoyale, W., Oyedele, H. A., Adesokan, M., Alamu, E. O., & Maziya‐Dixon, B. (2022). Can improved cassava genotypes from the breeding program substitute the adopted variety for gari production? Biophysical and textural attributes approach. Frontiers in Sustainable Food Systems, 6(6). https://www.frontiersin.org/articles/10.3389/fsufs.2022.984687/full
Awoyale, W., Olatoye, K. K., & Maziya‐Dixon, B. (2023). Cassava pectin and textural attributes of cooked gari (eba) and fufu dough. In M. Ahmed (Ed.), Utilization of pectin in the food and drug industries. IntechOpen. https://www.intechopen.com/chapters/85583
Baguma, J. K., Mukasa, S. B., Nuwamanya, E., Alicai, T., Omongo, C. A., Ochwo‐Ssemakula, M., Ozimati, A., Esuma, W., Kanaabi, M., & Wembabazi, E. (2024). Identification of genomic regions for traits associated with flowering in cassava (Manihot esculenta Crantz). Plants, 13(6), 796. https://doi.org/10.3390/plants13060796
Bassey, E. E. (2018). Evaluation of nine elite cassava (Manihot esculenta Crantz) genotypes for tuber and gari yields and gari quality in four locations in Akwa Ibom State, Nigeria. American Research Journal of Agriculture, 4(1), 1–10.
Bates, D. (2007). Linear mixed model implementation in lme4. University of Wisconsin.
Bechoff, A., Tomlins, K., Fliedel, G., Becerra Lopez‐lavalle, L. A., Westby, A., Hershey, C., & Dufour, D. (2018). Cassava traits and end‐user preference: Relating traits to consumer liking, sensory perception, and genetics. Critical Reviews in Food Science and Nutrition, 58(4), 547–567. https://doi.org/10.1080/10408398.2016.1202888
Becker, F., Buschfeld, E., Schell, J., & Bachmair, A. (1993). Altered response to viral infection by tobacco plants perturbed in ubiquitin system. The Plant Journal, 3(6), 875–881. https://doi.org/10.1111/j.1365‐313X.1993.00875.x
Beyene, G., Chauhan, R. D., Gehan, J., Siritunga, D., & Taylor, N. (2020). Cassava shrunken‐2 homolog MeAPL3 determines storage root starch and dry matter content and modulates storage root postharvest physiological deterioration. Plant Molecular Biology, 109, 283–299.
Bradbury, P. J., Zhang, Z., Kroon, D. E., Casstevens, T. M., Ramdoss, Y., & Buckler, E. S. (2007). TASSEL: Software for association mapping of complex traits in diverse samples. Bioinformatics, 23(19), 2633–2635. https://doi.org/10.1093/bioinformatics/btm308
Burns, A., Gleadow, R., Cliff, J., Zacarias, A., & Cavagnaro, T. (2010). Cassava: The drought, war and famine crop in a changing world. Sustainability, 2(11), 3572–3607. https://doi.org/10.3390/su2113572
Burton, G. W., & Devane, D. E. (1953). Estimating heritability in tall fescue (Festuca arundinacea) from replicated clonal material. Agronomy Journal, 45(10), 478–481. https://doi.org/10.2134/agronj1953.00021962004500100005x
Cao, J., Yuan, J., Zhang, Y., Chen, C., Zhang, B., Shi, X., Niu, R., & Lin, F. (2023). Multi‐layered roles of BBX proteins in plant growth and development. Stress Biology, 3(1), Article 1. https://doi.org/10.1007/s44154‐022‐00080‐z
Ceballos, H., Kawuki, R. S., Gracen, V. E., Yencho, G. C., & Hershey, C. H. (2015). Conventional breeding, marker‐assisted selection, genomic selection and inbreeding in clonally propagated crops: A case study for cassava. Theoretical and Applied Genetics, 128, 1647–1667. https://doi.org/10.1007/s00122‐015‐2555‐4
Chang, & Wu, S.‐H. (2011). COP1‐mediated degradation of BBX22/LZF1 optimizes seedling development in Arabidopsis. Plant Physiology, 156(1), 228–239.
Chang, S., Chen, Q., Yang, T., Li, B., Xin, M., Su, Z., Du, J., Guo, W., Hu, Z., Liu, J., Peng, H., Ni, Z., Sun, Q., & Yao, Y. (2022). Pinb‐D1p is an elite allele for improving end‐use quality in wheat (Triticum aestivum L.). Theoretical and Applied Genetics, 135(12), 4469–4481. https://doi.org/10.1007/s00122‐022‐04232‐7
Chayut, N., Yuan, H., Saar, Y., Zheng, Y., Sun, T., Zhou, X., Hermanns, A., Oren, E., Faigenboim, A., & Hui, M. (2021). Comparative transcriptome analyses shed light on carotenoid production and plastid development in melon fruit. Horticulture Research, 8, 112. https://doi.org/10.1038/s41438‐021‐00547‐6
Davey, J. W., Hohenlohe, P. A., Etter, P. D., Boone, J. Q., Catchen, J. M., & Blaxter, M. L. (2011). Genome‐wide genetic marker discovery and genotyping using next‐generation sequencing. Nature Reviews Genetics, 12(7), 499–510. https://doi.org/10.1038/nrg3012
Ezenwaka, L., Del Carpio, D. P., Jannink, J.‐L., Rabbi, I., Danquah, E., Asante, I., Danquah, A., Blay, E., & Egesi, C. (2018). Genome‐wide association study of resistance to cassava green mite pest and related traits in cassava. Crop Science, 58(5), 1907–1918. https://doi.org/10.2135/cropsci2018.01.0024
Fang, H., Dong, Y., Yue, X., Hu, J., Jiang, S., Xu, H., Wang, Y., Su, M., Zhang, J., & Zhang, Z. (2019). The B‐box zinc finger protein MdBBX20 integrates anthocyanin accumulation in response to ultraviolet radiation and low temperature. Plant, Cell & Environment, 42(7), 2090–2104.
Fettke, J., Albrecht, T., Hejazi, M., Mahlow, S., Nakamura, Y., & Steup, M. (2010). Glucose 1‐phosphate is efficiently taken up by potato (Solanum tuberosum) tuber parenchyma cells and converted to reserve starch granules. New Phytologist, 185(3), 663–675. https://doi.org/10.1111/j.1469‐8137.2009.03126.x
Gamal El‐Dien, O., Ratcliffe, B., Klápště, J., Chen, C., Porth, I., & El‐Kassaby, Y. A. (2015). Prediction accuracies for growth and wood attributes of interior spruce in space using genotyping‐by‐sequencing. BMC Genomics, 16, Article 370. https://doi.org/10.1186/s12864‐015‐1597‐y
Garrick, D. J., Taylor, J. F., & Fernando, R. L. (2009). Deregressing estimated breeding values and weighting information for genomic regression analyses. Genetics Selection Evolution, 41(1), Article 55. https://doi.org/10.1186/1297‐9686‐41‐55
Hebbali, A., & Hebbali, M. A. (2017). Package ‘olsrr’ (Version 0.5, 3) [Computer software]. CRAN.
Hellwege, J. N., Keaton, J. M., Giri, A., Gao, X., Velez Edwards, D. R., & Edwards, T. L. (2017). Population stratification in genetic association studies. Current Protocols in Human Genetics, 95(1), 1.22.1–1.22.23. https://doi.org/10.1002/cphg.48
Henrissat, B., Heffron, S. E., Yoder, M. D., Lietzke, S. E., & Jurnak, F. (1995). Functional implications of structure‐based sequence alignment of proteins in the extracellular pectate lyase superfamily. Plant Physiology, 107(3), 963–976. https://doi.org/10.1104/pp.107.3.963
Hohenfeld, C. S., Passos, A. R., de Carvalho, H. W. L., de Oliveira, S. A. S., & de Oliveira, E. J. (2022). Genome‐wide association study and selection for field resistance to cassava root rot disease and productive traits. PLoS One, 17(6), e0270020. https://doi.org/10.1371/journal.pone.0270020
Hu, X., Cheng, L., Hong, Y., Li, Z., Li, C., & Gu, Z. (2022). Impact of celluloses and pectins restrictions on gluten development and water distribution in potato‐wheat flour dough. International Journal of Biological Macromolecules, 206, 534–542. https://doi.org/10.1016/j.ijbiomac.2022.02.150
Huang, M., Liu, X., Zhou, Y., Summers, R. M., & Zhang, Z. (2019). BLINK: A package for the next level of genome‐wide association studies with both individuals and markers in the millions. GigaScience, 8(2), giy154. https://doi.org/10.1093/gigascience/giy154
Ibe, D. G., & Ezedinma, F. O. C. (1981). Gari yield from cassava: Is it a function of root yield? In E. R. Terry, K. A. Oduro, & F. Caveness (Eds.), Tropical root crops: Research strategies for the1980s: Proceedings of the first triennial root crops symposium of the International Society for Tropical Root Crops‐Africa Branch (pp. 159–162). International Development Research Centre.
Ibekwe, U. C., Chikezie, C., Obasi, P. C., & Eze, C. C. (2012). Profitability of garri processing in Owerri north local government area of Imo state. Journal of Science and Technology, 21(4), 343.
Jaramillo, A. M., Sierra, S., Chavarriaga‐Aguirre, P., Castillo, D. K., Gkanogiannis, A., López‐Lavalle, L. A. B., Arciniegas, J. P., Sun, T., Li, L., & Welsch, R. (2022). Characterization of cassava ORANGE proteins and their capability to increase provitamin A carotenoids accumulation. PLoS One, 17(1), e0262412. https://doi.org/10.1371/journal.pone.0262412
Ji, M., Fang, W., Li, W., Zhao, Y., Guo, Y., Wang, W., Chen, G., Tian, J., & Deng, Z. (2021). Genome wide association study of the whiteness and colour related traits of flour and dough sheets in common wheat. Scientific Reports, 11(1), Article 8790. https://doi.org/10.1038/s41598‐021‐88241‐4
Jiang, D., An, P., Cui, S., Sun, S., Zhang, J., & Tuo, T. (2020). Effect of modification methods of wheat straw fibers on water absorbency and mechanical properties of wheat straw fiber cement‐based composites. Advances in Materials Science and Engineering, 2020, Article 5031025.
Johnson, M., Kumar, A., Oladzad‐Abbasabadi, A., Salsman, E., Aoun, M., Manthey, F. A., & Elias, E. M. (2019). Association mapping for 24 traits related to protein content, gluten strength, color, cooking, and milling quality using balanced and unbalanced data in durum wheat [Triticum turgidum L. var. Durum (Desf).]. Frontiers in Genetics, 10, 717. https://doi.org/10.3389/fgene.2019.00717
Jones, D. A., & Jones, J. D. (1997). The role of leucine‐rich repeat proteins in plant defences. In Advances in botanical research (Vol. 24, pp. 89–167). Elsevier.
Kayondo, S. I., Pino Del Carpio, D., Lozano, R., Ozimati, A., Wolfe, M., Baguma, Y., Gracen, V., Offei, S., Ferguson, M., & Kawuki, R. (2018). Genome‐wide association mapping and genomic prediction for CBSD resistance in Manihot esculenta. Scientific Reports, 8(1), Article 1549. https://doi.org/10.1038/s41598‐018‐19696‐1
Kim, J., Oh, Y., Park, C., Kang, Y. M., Shin, H., Kim, I. Y., & Jang, D. P. (2019). Comparison study of partial least squares regression analysis and principal component analysis in fast‐scan cyclic voltammetry. International Journal of Electrochemical Science, 14(7), 5924–5937. https://doi.org/10.20964/2019.07.03
Kristensen, P. S., Jahoor, A., Andersen, J. R., Cericola, F., Orabi, J., Janss, L. L., & Jensen, J. (2018). Genome‐wide association studies and comparison of models and cross‐validation strategies for genomic prediction of quality traits in advanced winter wheat breeding lines. Frontiers in Plant Science, 9, Article 69. https://doi.org/10.3389/fpls.2018.00069
Kristensen, P. S., Jensen, J., Andersen, J. R., Guzmán, C., Orabi, J., & Jahoor, A. (2019). Genomic prediction and genome‐wide association studies of flour yield and alveograph quality traits using advanced winter wheat breeding material. Genes, 10(9), 669. https://doi.org/10.3390/genes10090669
Kunzek, H., Kabbert, R., & Gloyna, D. (1999). Aspects of material science in food processing: Changes in plant cell walls of fruits and vegetables. Zeitschrift Für Lebensmitteluntersuchung Und‐Forschung A, 208, 233–250. https://doi.org/10.1007/s002170050410
Laya, A., Koubala, B. B., Kouninki, H., & Nukenine, N. E. (2018). Effect of harvest period on the proximate composition and functional and sensory properties of gari produced from local and improved cassava (Manihot esculenta) varieties. International Journal of Food Science, 2018, Article 6241035. https://doi.org/10.1155/2018/6241035
Lee, J.‐H., & Kim, W. T. (2011). Regulation of abiotic stress signal transduction by E3 ubiquitin ligases in Arabidopsis. Molecules and Cells, 31, 201–208. https://doi.org/10.1007/s10059‐011‐0031‐9
Liu, W., Tang, X., Qi, X., Fu, X., Ghimire, S., Ma, R., Li, S., Zhang, N., & Si, H. (2020). The ubiquitin conjugating enzyme: An important ubiquitin transfer platform in ubiquitin‐proteasome system. International Journal of Molecular Sciences, 21(8), 2894. https://doi.org/10.3390/ijms21082894
Lou, H., Zhang, R., Liu, Y., Guo, D., Zhai, S., Chen, A., Zhang, Y., Xie, C., You, M., Peng, H., Liang, R., Ni, Z., Sun, Q., & Li, B. (2021). Genome‐wide association study of six quality‐related traits in common wheat (Triticum aestivum L.) under two sowing conditions. Theoretical and Applied Genetics, 134(1), 399–418. https://doi.org/10.1007/s00122‐020‐03704‐y
Mbe, J. O., Dzidzienyo, D. K., Abah, S. P., Njoku, D. N., Onyeka, J., Tongoona, P., & Egesi, C. (2024). Novel SNP markers and other stress‐related genomic regions associated with nitrogen use efficiency in cassava. Frontiers in Plant Science, 15, 1376520. https://doi.org/10.3389/fpls.2024.1376520
Merrick, L. F., & Carter, A. H. (2021). Comparison of genomic selection models for exploring predictive ability of complex traits in breeding programs. The Plant Genome, 14(3), e20158. https://doi.org/10.1002/tpg2.20158
Misra, G., Badoni, S., Domingo, C. J., Cuevas, R. P. O., Llorente, C., Mbanjo, E. G. N., & Sreenivasulu, N. (2018). Deciphering the genetic architecture of cooked rice texture. Frontiers in Plant Science, 9, Article 1405. https://doi.org/10.3389/fpls.2018.01405
Montagnac, J. A., Davis, C. R., & Tanumihardjo, S. A. (2009). Nutritional value of cassava for use as a staple food and recent advances for improvement. Comprehensive Reviews in Food Science and Food Safety, 8(3), 181–194. https://doi.org/10.1111/j.1541‐4337.2009.00077.x
Müller, S., & Kunzek, H. (1998). Material properties of processed fruit and vegetables I. Effect of extraction and thermal treatment on apple parenchyma: I. Effect of extraction and thermal treatment on apple parenchyma. Zeitschrift Für Lebensmitteluntersuchung Und‐Forschung A, 206, 264–272.
Nandudu, L., Kawuki, R., Ogbonna, A., Kanaabi, M., & Jannink, J.‐L. (2023). Genetic dissection of cassava brown streak disease in a genomic selection population. Frontiers in Plant Science, 13, 5627. https://doi.org/10.3389/fpls.2022.1099409
Ndjouenkeu, R., Ngoualem Kegah, F., Teeken, B., Okoye, B., Madu, T., Olaosebikan, O. D., Chijioke, U., Bello, A., Oluwaseun Osunbade, A., Owoade, D., Takam‐Tchuente, N. H., Biaton Njeufa, E., Nguiadem Chomdom, I. L., Forsythe, L., Maziya‐Dixon, B., & Fliedel, G. (2021). From cassava to gari: Mapping of quality characteristics and end‐user preferences in Cameroon and Nigeria. International Journal of Food Science & Technology, 56(3), 1223–1238. https://doi.org/10.1111/ijfs.14790
Neph, S., Kuehn, M. S., Reynolds, A. P., Haugen, E., Thurman, R. E., Johnson, A. K., Rynes, E., Maurano, M. T., Vierstra, J., & Thomas, S. (2012). BEDOPS: High‐performance genomic feature operations. Bioinformatics, 28(14), 1919–1920. https://doi.org/10.1093/bioinformatics/bts277
Ngoualem Kégah, F., & Ndjouenkeu, R. (2023). Gari, a cassava (Manihot esculenta Crantz) derived product: Review on its quality and their determinants. Journal of Food Quality, 2023, Article 7238309.
Nweke, F. I. (2004). New challenges in the cassava transformation in Nigeria and Ghana (Vol. 118). International Food Policy Research Institute.
Nyquist, W. E., & Baker, R. J. (1991). Estimation of heritability and prediction of selection response in plant populations. Critical Reviews in Plant Sciences, 10(3), 235–322. https://doi.org/10.1080/07352689109382313
Obel, H. O., Cheng, C., Li, Y., Tian, Z., Njogu, M. K., Li, J., Lou, Q., Yu, X., Yang, Z., & Ogweno, J. O. (2022). Genome‐wide identification of the B‐Box gene family and expression analysis suggests their potential role in photoperiod‐mediated β‐carotene accumulation in the endocarp of cucumber (Cucumis sativus L.) fruit. Genes, 13(4), 658. https://doi.org/10.3390/genes13040658
Oduro, I., Ellis, W. O., Dziedzoave, N. T., & Nimako‐Yeboah, K. (2000). Quality of gari from selected processing zones in Ghana. Food Control, 11(4), 297–303. https://doi.org/10.1016/S0956‐7135(99)00106‐1
Olaosebikan, O., Abolore, B., De Sousa, K., Ndjouenkeu, R., Adesokan, M., Alamu, E., Agbona, A., Van Etten, J., Kégah, F. N., & Dufour, D. (2023). Drivers of consumer acceptability of cassava gari‐eba food products across cultural and environmental settings using the triadic comparison of technologies approach (tricot). Journal of the Science of Food and Agriculture, 104, 4770–4781.
Oluwamukomi, M. O., & Lawal, O. S. (2020). Textural characteristics of Nigerian foods. In K. Nishinari (Ed.), Textural characteristics of world foods (pp. 361–383). Wiley. https://doi.org/10.1002/9781119430902.ch25
Oyeyinka, S. A., Ajayi, O. I., Gbadebo, C. T., Kayode, R. M. O., Karim, O. R., & Adeloye, A. A. (2019). Physicochemical properties of gari prepared from frozen cassava roots. LWT, 99, 594–599. https://doi.org/10.1016/j.lwt.2018.10.004
Peprah, B. B., Parkes, E., Manu‐Aduening, J., Kulakow, P., Van Biljon, A., & Labuschagne, M. (2020). Genetic variability, stability and heritability for quality and yield characteristics in provitamin A cassava varieties. Euphytica, 216(2), Article 31. https://doi.org/10.1007/s10681‐020‐2562‐7
Phillips, T. P., Taylor, D. S., Sanni, L. O., & Akoroda, M. O. (2004). A cassava industrial revolution in Nigeria: The potential of a new industrial crop. FAO.
Phumichai, C., Aiemnaka, P., Nathaisong, P., Hunsawattanakul, S., Fungfoo, P., Rojanaridpiched, C., Vichukit, V., Kongsil, P., Kittipadakul, P., & Wannarat, W. (2022). Genome‐wide association mapping and genomic prediction of yield‐related traits and starch pasting properties in cassava. Theoretical and Applied Genetics, 135(1), 145–171.
Piepho, H.‐P., & Möhring, J. (2007). Computing heritability and selection response from unbalanced plant breeding trials. Genetics, 177(3), 1881–1888. https://doi.org/10.1534/genetics.107.074229
Pradeepkumar, T., Dijee, B., Joy, M., Radhakrishnan, N. V., & Aipe, K. C. (2001). Genetic variation in tomato for yield and resistance to bacterial wilt. Journal of Tropical Agriculture, 39, 157–158.
Quinlan, A. R., & Hall, I. M. (2010). BEDTools: A flexible suite of utilities for comparing genomic features. Bioinformatics, 26(6), 841–842. https://doi.org/10.1093/bioinformatics/btq033
R Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing.
Rabbi, I. Y., Udoh, L. I., Wolfe, M., Parkes, E. Y., Gedil, M. A., Dixon, A., Ramu, P., Jannink, J.‐L., & Kulakow, P. (2017). Genome‐wide association mapping of correlated traits in cassava: Dry matter and total carotenoid content. The Plant Genome, 10(3), plantgenome2016.09.0094. https://doi.org/10.3835/plantgenome2016.09.0094
Salcedo, A., Zambrana, C., & Siritunga, D. (2014). Comparative expression analysis of reference genes in field‐grown cassava. Tropical Plant Biology, 7, 53–64. https://doi.org/10.1007/s12042‐014‐9137‐5
Santner, A., & Estelle, M. (2010). The ubiquitin‐proteasome system regulates plant hormone signaling. The Plant Journal, 61(6), 1029–1040. https://doi.org/10.1111/j.1365‐313X.2010.04112.x
Schüle, T., Rose, M., Entian, K.‐D., Thumm, M., & Wolf, D. H. (2000). Ubc8p functions in catabolite degradation of fructose‐1, 6‐bisphosphatase in yeast. The EMBO Journal, 19(10), 2161–2167. https://doi.org/10.1093/emboj/19.10.2161
Soitamo, A. J., Piippo, M., Allahverdiyeva, Y., Battchikova, N., & Aro, E.‐M. (2008). Light has a specific role in modulating Arabidopsis gene expression at low temperature. BMC Plant Biology, 8(1), Article 13. https://doi.org/10.1186/1471‐2229‐8‐13
Sun, L., & van Nocker, S. (2010). Analysis of promoter activity of members of the PECTATE LYASE‐LIKE (PLL) gene family in cell separation in Arabidopsis. BMC Plant Biology, 10, Article 152. https://doi.org/10.1186/1471‐2229‐10‐152
Swissa, M., Aloni, Y., Weinhouse, H., & Benizman, M. (1980). Intermediatry steps in Acetobacter xylinum cellulose synthesis: Studies with whole cells and cell‐free preparations of the wild type and a celluloseless mutant. Journal of Bacteriology, 143(3), 1142–1150. https://doi.org/10.1128/jb.143.3.1142‐1150.1980
Tauberger, E., Fernie, A. R., Emmermann, M., Renz, A., Kossmann, J., Willmitzer, L., & Trethewey, R. N. (2000). Antisense inhibition of plastidial phosphoglucomutase provides compelling evidence that potato tuber amyloplasts import carbon from the cytosol in the form of glucose‐6‐phosphate. The Plant Journal, 23(1), 43–53. https://doi.org/10.1046/j.1365‐313x.2000.00783.x
Teeken, B., Agbona, A., Bello, A., Olaosebikan, O., Alamu, E., Adesokan, M., Awoyale, W., Madu, T., Okoye, B., & Chijioke, U. (2021). Understanding cassava varietal preferences through pairwise ranking of gari‐eba and fufu prepared by local farmer–processors. International Journal of Food Science & Technology, 56(3), 1258–1277.
Uchendu, K., Njoku, D. N., Paterne, A., Rabbi, I. Y., Dzidzienyo, D., Tongoona, P., Offei, S., & Egesi, C. (2021). Genome‐wide association study of root mealiness and other texture‐associated traits in cassava. Frontiers in Plant Science, 12, 770434.
Udoro, E. O., Kehinde, A. T., Olasunkanmi, S. G., & Charles, T. A. (2014). Studies on the physicochemical, functional and sensory properties of gari processed from dried cassava chips. Journal of Food Processing and Technology, 5(1), 293.
Voragen, A. G., Coenen, G.‐J., Verhoef, R. P., & Schols, H. A. (2009). Pectin, a versatile polysaccharide present in plant cell walls. Structural Chemistry, 20, 263–275. https://doi.org/10.1007/s11224‐009‐9442‐z
Wallace, J. G., Bradbury, P. J., Zhang, N., Gibon, Y., Stitt, M., & Buckler, E. S. (2014). Association mapping across numerous traits reveals patterns of functional variation in maize. PLoS Genetics, 10(12), e1004845. https://doi.org/10.1371/journal.pgen.1004845
Wang, J., & Zhang, Z. (2021). GAPIT version 3: Boosting power and accuracy for genomic association and prediction. Genomics, Proteomics & Bioinformatics, 19(4), 629–640. https://doi.org/10.1016/j.gpb.2021.08.005
Wang, Z., Zhao, J., Guan, Q., Ke, Z., Li, X., Zhang, Z., Tian, J., Li, H., & Chen, J. (2022). QTL analysis for 27 quality traits measured through the color of end‐use products in common wheat (Triticum aestivum L.). Euphytica, 218(9), 121.
Wickham, H. (2016). Getting started with ggplot2. In Ggplot2: Elegant graphics for data analysis (pp. 11–31). Springer.
Wossen, T., Girma, G., Abdoulaye, T., Rabbi, I., Olanrewaju, A., Kulakow, P., Asumugha, G., Abass, A., Tokula, M., & Manyong, V. (2017). The cassava monitoring survey in Nigeria. IITA.
Xiong, C., Luo, D., Lin, A., Zhang, C., Shan, L., He, P., Li, B., Zhang, Q., Hua, B., & Yuan, Z. (2019). A tomato B‐box protein Sl BBX 20 modulates carotenoid biosynthesis by directly activating PHYTOENE SYNTHASE 1, and is targeted for 26S proteasome‐mediated degradation. New Phytologist, 221(1), 279–294. https://doi.org/10.1111/nph.15373
Yang, J., Zeng, J., Goddard, M. E., Wray, N. R., & Visscher, P. M. (2017). Concepts, estimation and interpretation of SNP‐based heritability. Nature Genetics, 49(9), 1304–1310. https://doi.org/10.1038/ng.3941
Yin, L. (2020). CMplot: Circle Manhattan plot (R package version 3.6) [Computer software]. CRAN.
Zargar, S. M., Raatz, B., Sonah, H., Muslima, N., Bhat, J. A., Dar, Z. A., Agrawal, G. K., & Rakwal, R. (2015). Recent advances in molecular marker techniques: Insight into QTL mapping, GWAS and genomic selection in plants. Journal of Crop Science and Biotechnology, 18, 293–308. https://doi.org/10.1007/s12892‐015‐0037‐5
Zhang, Z., Ersoz, E., Lai, C.‐Q., Todhunter, R. J., Tiwari, H. K., Gore, M. A., Bradbury, P. J., Yu, J., Arnett, D. K., & Ordovas, J. M. (2010). Mixed linear model approach adapted for genome‐wide association studies. Nature Genetics, 42(4), 355–360. https://doi.org/10.1038/ng.546
Zhu, H., & Zhou, X. (2020). Statistical methods for SNP heritability estimation and partition: A review. Computational and Structural Biotechnology Journal, 18, 1557–1568. https://doi.org/10.1016/j.csbj.2020.06.011

Auteurs

Cynthia Idhigu Aghogho (CI)

West Africa Centre for Crop Improvement (WACCI), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana.
International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.

Siraj Ismail Kayondo (SI)

International Institute of Tropical Agriculture (IITA), Eastern Africa Hub, Dar es Salaam, Tanzania.

Saviour J Y Eleblu (SJY)

West Africa Centre for Crop Improvement (WACCI), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana.

Adenike Ige (A)

Department of Agronomy and Plant Genetics, University of Minnesota, Minneapolis, Minnesota, USA.

Isaac Asante (I)

West Africa Centre for Crop Improvement (WACCI), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana.

Samuel K Offei (SK)

West Africa Centre for Crop Improvement (WACCI), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana.

Elizabeth Parkes (E)

International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.

Chiedozie Egesi (C)

National Root Crops Research Institute, Umuahia, Nigeria.
Plant Breeding and Genetics Section, School of Integrative Plant Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, New York, USA.

Edwige Gaby Nkouaya Mbanjo (EGN)

International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.

Trushar Shah (T)

International Institute of Tropical Agriculture (IITA), c/o ILRI, Nairobi, Kenya.

Peter Kulakow (P)

International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.

Ismail Y Rabbi (IY)

International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria.

Classifications MeSH