Genetic diversity for nitrogen use efficiency in spinach (Spinacia oleracea L.) cultivars using the Ingestad model on hydroponics

Chan-Navarrete, Rafael; Kawai, Asako; Dolstra, O.; Bueren, E.T. Lammerts van; Linden, C. Gerard van der

doi:10.1007/s10681-014-1186-1

Cited by 24 publications

(31 citation statements)

References 34 publications

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“…Marabu is a cultivar with thick, dark green leaves suitable for cultivation in spring and early autumn. Ranchero had high NUE while NUE of Marabu was relatively low under low N conditions (Chan-Navarrete et al 2014).…”

Section: Plant Materials and Mapping Populationmentioning

confidence: 89%

“…A randomly selected set of 94 F 2:3 lines was evaluated for NUE using a hydroponics system in a temperaturecontrolled sunlit greenhouse compartment at UNI-FARM (Wageningen, The Netherlands) as described in detail by Chan-Navarrete et al (2014 The hydroponics experiment to evaluate the F 2:3 mapping population for NUE and related traits was executed over a period of 35 days. The measurements were done at the end of the trial, except for nondestructive chlorophyll content measurements.…”

Section: Methodsmentioning

confidence: 99%

“…The parents were selected because they differed strongly in NUE (Chan-Navarrete et al 2014). Ranchero is a cultivar with an upright growth habit and many dark oval-shaped leaves, suitable for spring, autumn and winter cultivation.…”

Section: Plant Materials and Mapping Populationmentioning

confidence: 99%

“…Chan-Navarrete et al (2014) evaluated traits related to growth and photosynthesis and their correlation with NUE in a hydroponics system. They reported that leaf area as well as specific leaf area (SLA) were strong determinants of variation for NUE in spinach.…”

Section: Introductionmentioning

confidence: 99%

“…The latter is difficult to control under field conditions (Fageria and Baligar 2005) and this will complicate genetic analysis of NUE variation. Hence, a hydroponics system providing controlled evaluation conditions thus reducing the environmental effects as described by Chan-Navarrete et al (2014) was used in this study.…”

Section: Introductionmentioning

confidence: 99%

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Genetic map construction and QTL analysis of nitrogen use efficiency in spinach (Spinacia oleracea L.)

et al. 2015

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Cultivation of spinach requires high amounts of nitrogen (N), which puts a strain on the environment. A sustainable solution to this problem is to breed for crops with higher N use efficiency (NUE). The aim of this study was to provide tools for molecular breeding and to elucidate the genetic variation of factors contributing to NUE in spinach. A cross was made between two F 1 hybrid cultivars contrasting in NUE. Several F1 progeny were selfpollinated and based on evaluation of the F2 generation, a mapping F 2 population (335 individuals) of a single F1 was selected. SNP markers for the genetic map were discovered by RNA sequencing of the two parent cultivars, and 283 SNP markers were used to produce a genetic map comprising of six linkage groups (P01-P06), ranging in size from 46 to 116 cM. NUE related traits were determined for a set of F 2:3 families grown under low and high N conditions in a hydroponics system under an Ingestad N-addition model. Interval mapping analysis detected 39 traitspecific QTLs, with several QTLs accumulating on P01 and P02 of the linkage map. The QTLs and in particular the P01 and P02 regions provide potential targets for the improvement of NUE in spinach.

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Section: Plant Materials and Mapping Populationmentioning

confidence: 89%

Section: Methodsmentioning

confidence: 99%

Section: Plant Materials and Mapping Populationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Genetic map construction and QTL analysis of nitrogen use efficiency in spinach (Spinacia oleracea L.)

et al. 2015

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Nitrogen uptake and utilization in advanced fresh‐market red potato breeding lines

Jones

Michaels

Carley³

et al. 2021

Crop Science

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Potato (Solanum tuberosum L.) production on sandy soils requires added N. Only 40-60% of the applied N is acquired by the crop. Increased N use efficiency (NUE) and its components, N utilization efficiency (NUtE) and N uptake efficiency (NUpE), could reduce fertilizer rates and environmental losses. We compared N efficiency in fresh-market red potato varieties, in terms of yield and quality traits, and examined potential mechanisms for that efficiency including uptake, utilization, and increased root growth. We grew selections from a red potato breeding population and commercial varieties under two N rates: 101 and 202 kg N ha −1. We compared NUE, NUpE, and NUtE in low and high N. We compared root phenotypes at tuber initiation and yield and skin quality metrics at harvest. Values for NUtE correlated with NUE and yield in low N and NUpE correlated with NUE and yield in high N. Low-N conditions produced smaller tubers, while high N resulted primarily in medium tubers. Nitrogen did not affect skinning and redness but low N did result in slightly lighter skin color. Total root mass 45 d after planting (DAP) correlated with final yield and NUE but did not correlate with measures of N uptake across treatments. Larger roots correlated with NUpE only in the high-N treatment. Selection under low N may reveal NUE and expose more stable representations of the genetic components of skin quality phenotypes. While skinning and skin color were more variable among varieties in low N, within variety they exhibited year-to-year consistency. 1 INTRODUCTION Potato (Solanum tuberosum L.) is the third most important food crop in the world (FAO, 2018). As the global population increases (United Nations, 2015), potato production must

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Genetics of robustness under nitrogen‐ and water‐deficient conditions in field‐grown lettuce

et al. 2021

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Robustness is the measure of the ability to perform well across multiple environments. The genetics of robustness in lettuce (Lactuca sativa L.) under changing nitrogen application was studied by two parameters obtained from linear regression analysis. Robustness in changing water application was assessed by two parameters, relative efficiency component (REC) and susceptibility component (SC). The efficiency, sensitivity, and the effect of reduced irrigation on these parameters was assessed for 50 lines of lettuce in 2011. Efficiency, sensitivity, and plant nitrogen uptake and utilization were important traits in robustness under changing nitrogen application. Eight cultivars were re-evaluated in 2012, 2014, and 2016 under high and low nitrogen treatments in order to estimate the repeatability of efficiency and sensitivity. Repeatability was greater for efficiency than sensitivity. In addition, the genetics of efficiency, sensitivity, REC, SC, nutrient concentration, nutrient content, dry to fresh biomass percentage, bolting, and shoot biomass production were studied by quantitative trait locus (QTL) analysis of a recombinant inbred line population derived from the cultivars Grand Rapids and Iceberg. The population was phenotyped in three experiments and genotyped by sequencing. Major clusters of QTLs for these traits were identified in linkage groups (LGs) 3, 7, and 9. Minor effect QTLs for sensitivity were identified in LGs 3 and 4. Intermediate effect QTLs for SC were identified in LGs 4 and 7. These results provide evidence that the components of robustness under changing nitrogen (efficiency and sensitivity) and water (REC and SC) availability are genetically independent and can be improved through breeding.

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Genetic diversity for nitrogen use efficiency in spinach (Spinacia oleracea L.) cultivars using the Ingestad model on hydroponics

Cited by 24 publications

References 34 publications

Genetic map construction and QTL analysis of nitrogen use efficiency in spinach (Spinacia oleracea L.)

Genetic map construction and QTL analysis of nitrogen use efficiency in spinach (Spinacia oleracea L.)

Nitrogen uptake and utilization in advanced fresh‐market red potato breeding lines

Genetics of robustness under nitrogen‐ and water‐deficient conditions in field‐grown lettuce

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