scholarly journals Linkage and QTL mapping for tuber shape and specific gravity in a tetraploid mapping population of potato representing the russet market class

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jaebum Park ◽  
Alicia N. Massa ◽  
David Douches ◽  
Joseph Coombs ◽  
Deniz Akdemir ◽  
...  

Abstract Background Tuber shape and specific gravity (dry matter) are important agronomic traits in potato processing and impact production costs, quality, and consistency of the final processed food products such as French fries and potato chips. In this study, linkage and QTL mapping were performed for these two traits to allow for the implementation of marker-assisted selection to facilitate breeding efforts in the russet market class. Two parents, Rio Grande Russet (female) and Premier Russet (male) and their 205 F1 progenies were initially phenotyped for tuber shape and specific gravity in field trials conducted in Idaho and North Carolina in 2010 and 2011, with specific gravity also being measured in Minnesota in 2011. Progenies and parents were previously genotyped using the Illumina SolCAP Infinium 8303 Potato SNP array, with ClusterCall and MAPpoly (R-packages) subsequently used for autotetraploid SNP calling and linkage mapping in this study. The 12 complete linkage groups and phenotypic data were then imported into QTLpoly, an R-package designed for polyploid QTL analyses. Results Significant QTL for tuber shape were detected on chromosomes 4, 7, and 10, with heritability estimates ranging from 0.09 to 0.36. Significant tuber shape QTL on chromosomes 4 and 7 were specific to Idaho and North Carolina environments, respectively, whereas the QTL on chromosome 10 was significant regardless of growing environment. Single marker analyses identified alleles in the parents associated with QTL on chromosomes 4, 7, and 10 that contributed to significant differences in tuber shape among progenies. Significant QTL were also identified for specific gravity on chromosomes 1 and 5 with heritability ranging from 0.12 to 0.21 and were reflected across environments. Conclusion Fully automated linkage mapping and QTL analysis were conducted to identify significant QTL for tuber shape and dry matter in a tetraploid mapping population representing the russet market class. The findings are important for the development of molecular markers useful to potato breeders for marker-assisted selection for the long tuber shape and acceptable dry matter required by the potato industry within this important market class.

2020 ◽  
Vol 5 (1) ◽  
pp. 63-74
Author(s):  
Lemma Tessema ◽  
Wassu Mohammed ◽  
Tesfaye Abebe

AbstractA field experiment was conducted in the central highlands of Ethiopia to evaluate the performance of potato varieties for tuber yield and to identify a superior variety in tuber yield and yield components. The experiment was laid out in a randomized complete block design with three replications at two locations in the central highlands of Ethiopia during the 2017 main cropping season. The results of analysis of variance (ANOVA) showed the presence of highly significant (P<0.01) differences among varieties over all traits studied. The mean squares for location were also significant in indicating the influence of environments on the traits of the studied varieties. However, the interaction between variety and environment had no significant effect on the performances of the potato varieties to attain 50% flowering, specific gravity and dry matter content indicating a similar performance of these traits across all locations. The variety Belete produced the maximum total tuber yield of 32.8 t ha -1 and marketable tuber yield of 29.1 t ha-1. Conversely, farmers` variety Nech Abeba produced the minimum total tuber yield of 13.8 t ha-1 and marketable tuber yield of 8.4 t ha-1. For most tuber quality traits, viz., tuber specific gravity, dry matter content, starch percentage and total starch yield, varieties Belete and Menagesha were the maximum and minimum producers, respectively. Thus, it could be concluded that varietal and environmental variations as well as their interaction had considerable influence on tuber yield and the potato’s attributes.


1997 ◽  
Vol 24 (2) ◽  
pp. 128-134 ◽  
Author(s):  
D. A. Herbert ◽  
W. J. Petka ◽  
R. L. Brandenburg

Abstract The southern corn rootworm, Diabrotica undecimpunctata howardi Barber, is a primary pest of peanut, Arachis hypogaea L., in Virginia and North Carolina and an occasional pest in South Carolina, Georgia, Alabama, and Texas. Currently, no alternatives involving integrated pest management exist for this pest, and control is based solely on preventive application of soil insecticides. Recent reductions in federal price support for peanut grown in the U.S. have provided incentives for growers to look for ways to reduce production costs. A risk index was developed that integrates factors that influence rootworm abundance and peanut pod damage to estimate levels of risk in individual peanut fields, and thus allows for more prescriptive and economical rootworm management. This index was evaluated using 44 field case studies in Virginia and North Carolina commercial peanut fields over the period 1989 to 1996. In each field case, predicted risk was compared to actual percent pod damage. Results showed that in 29 of 44 cases, the index accurately predicted general levels of risk to pod damage, and insecticide treatment decisions based on the index would have been correct in 32 of 44 cases. This report contains the individual index components, the justification for each, the indexing process, example index scenarios, and results of the process used in field case study evaluation.


PLoS ONE ◽  
2013 ◽  
Vol 8 (5) ◽  
pp. e63939 ◽  
Author(s):  
Christine A. Hackett ◽  
Karen McLean ◽  
Glenn J. Bryan

2005 ◽  
Vol 62 (2) ◽  
pp. 159-164 ◽  
Author(s):  
Rossini Mattos Corrêa ◽  
Clístenes Williams Araújo do Nascimento ◽  
Silvana Keely de Sá Souza ◽  
Fernando José Freire ◽  
Gleibson Barbosa da Silva

Crops in general make poor use of phosphorous fertilizer and, as a result, recommended rates and production costs are very high. Phosphorus can be made more readily available to plants by proper management of phosphate fertilization, selecting both, type of fertilizer and application method. This study was carried out to evaluate the efficiency of the natural Gafsa rock phosphate and the triple superphosphate on dry matter production and P uptake by corn plants cultivated in a greenhouse. Fertilizers were applied localized and broadcast/incorporated on to two soils with contrasting phosphorus capacity factors (PCF). Rock phosphate broadcast application was as efficient as triple superphosphate in increasing corn plant dry matter in the Tropudult, with lower PCF. This effect was not observed on the Haplustox, owing to the lower P solubility due to the higher Ca concentration in this soil. Triple superphosphate rates increased plant P uptake in both soils and for both application forms. Rock phosphate resulted in higher P-content in plants, but only for broadcast application on the Ultisol.


Author(s):  
Li Zhang ◽  
Alice MacQueen ◽  
Jason Bonnette ◽  
Felix B Fritschi ◽  
David B Lowry ◽  
...  

Abstract Ionomics measures elemental concentrations in biological organisms and provides a snapshot of physiology under different conditions. In this study, we evaluate genetic variation of the ionome in outbred, perennial switchgrass in three environments across the species’ native range, and explore patterns of genotype-by-environment interactions. We grew 725 clonally replicated genotypes of a large full sib family from a four-way linkage mapping population, created from deeply diverged upland and lowland switchgrass ecotypes, at three common gardens. Concentrations of 18 mineral elements were determined in whole post-anthesis tillers using ion coupled plasma mass spectrometry (ICP-MS). These measurements were used to identify quantitative trait loci (QTL) with and without QTL-by-environment interactions (QTLxE) using a multi-environment QTL mapping approach. We found that element concentrations varied significantly both within and between switchgrass ecotypes, and GxE was present at both the trait and QTL level. Concentrations of 14 of the 18 elements were under some genetic control, and 77 QTL were detected for these elements. 74% of QTL colocalized multiple elements, half of QTL exhibited significant QTLxE, and roughly equal numbers of QTL had significant differences in magnitude and sign of their effects across environments. The switchgrass ionome is under moderate genetic control and by loci with highly variable effects across environments.


2020 ◽  
Author(s):  
Meiling Gao ◽  
Xiaoxue Liang ◽  
Xiujie Liu ◽  
Yu Guo ◽  
Hongguo Xu ◽  
...  

Abstract BackgroundWatermelon is an important vegetable crop with dual use of both fruit and seeds. Understanding the genetic basis of fruit quality and seed size-related traits is important for efficient marker-assisted breeding in watermelon. Linkage mapping in watermelon segregating populations using genotyping-by-sequencing (GBS) provides insights into genetic control of fruit- and seed-related traits and genome collinearity in commercial watermelon cultivars. ResultsIn the present study, we conducted QTL mapping of 12 horticulturally important traits on external and internal fruit quality and seed size/weight using segregating populations derived a cross between two commercial varieties. A high-density genetic map was developed with GBS which contained more than 6,000 SNP loci in 1,004 bins with a total map length of 1261.1 cM and average marker interval of 1.26 cM or 329 kb. Phenotypic data of fruit rind color (RC), rind stripe pattern (RSP), flesh color (FFC), fruit diameter (FD), fruit length (FL), fruit shape index (FSI), fruit weight (FW), Brix content central (BCC), Brix content edge (BCE), seed length (SL), width (SW), and weight (20SWT) were collected from two locations in two years. QTL analysis identified 47 QTL for the 12 traits, of which 24 had moderate- or major-effects, and 34 were novel QTL not identified in previous studies. The QTL for RSP were identified overlapped with previous reports, and mapped the QTL to a small interval on chromosome 6. From the detected novel QTL, we identify FD (qfd2.1), FL (qfl2.1) co-located with FSI (qfsi2.1) QTL on chromosome 2, and the minor QTL qfw3.2 co-located with previously reported fruit shape QTL (qfd3.1, qfl3.1, qfsi3.1), and SW (qsw10.1) co-located with 20SWT QTL (q20swt10.1) on chromosome 10, and 5 minor QTL (qbcc2.1, qbcc5.1, qbce2.1, qbce2.2, qbce5.1) were found to be likely new locus for Brix content.ConclusionWe conducted GBS consisting of 120 F2 individuals and developed a high-density linkage map with more than 6,000 SNP loci in 1004 bins in watermelon. We identified 47 QTL for 12 fruit and seed related traits including 34 novel QTL. Our work expands the molecular breeding toolbox for watermelon to improve the yield and fruit quality.


EDIS ◽  
2019 ◽  
Vol 2019 (3) ◽  
Author(s):  
Marcelo Wallau ◽  
Joao Vendramini

Determining forage moisture is an essential procedure for estimating forage mass in pastures, determining harvesting or baling point for preserved forages, and calculating dry matter of feedstuff for total mixed rations. This 3-page document discusses methods and pieces of equipment available to estimate forage moisture. Written by M. Wallau and J. Vendramini, and published by the UF/IFAS Agronomy Department, revised June 2019.  http://edis.ifas.ufl.edu/ag181 Original publication: Chambliss, Carrol. 2002. “Forage Moisture Testing”. EDIS 2002 (1). https://journals.flvc.org/edis/article/view/108091. June 2002 version was adapted from Chamblee, D. S. and J. T Green, Jr. 1995. Production and Utilization of Pasture and Forages in North Carolina, Technical Bulletin 305. Raleigh: North Carolina Agricultural Research Service, North Carolina State University. https://content.ces.ncsu.edu/production-and-utilization-of-pastures-and-forages-in-north-carolina 


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Armin Scheben ◽  
Anita A. Severn-Ellis ◽  
Dhwani Patel ◽  
Aneeta Pradhan ◽  
Stephen J. Rae ◽  
...  

Abstract Background Brassica napus is an important oilseed crop cultivated worldwide. During domestication and breeding of B. napus, flowering time has been a target of selection because of its substantial impact on yield. Here we use double digest restriction-site associated DNA sequencing (ddRAD) to investigate the genetic basis of flowering in B. napus. An F2 mapping population was derived from a cross between an early-flowering spring type and a late-flowering winter type. Results Flowering time in the mapping population differed by up to 25 days between individuals. High genotype error rates persisted after initial quality controls, as suggested by a genotype discordance of ~ 12% between biological sequencing replicates. After genotype error correction, a linkage map spanning 3981.31 cM and compromising 14,630 single nucleotide polymorphisms (SNPs) was constructed. A quantitative trait locus (QTL) on chromosome C2 was detected, covering eight flowering time genes including FLC. Conclusions These findings demonstrate the effectiveness of the ddRAD approach to sample the B. napus genome. Our results also suggest that ddRAD genotype error rates can be higher than expected in F2 populations. Quality filtering and genotype correction and imputation can substantially reduce these error rates and allow effective linkage mapping and QTL analysis.


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