Intra-plant variability in seed size and seed quality in Lupinus albus L

Crochemore, ML; Huyghe, C.; Papineau, J.; Julier, Bernadette

doi:10.1051/agro:19940101

Cited by 14 publications

(7 citation statements)

References 8 publications

(9 reference statements)

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“…Environment has a significant influence on the protein content of grain legumes (Oluwatosin, 1997;Saxena et al, 2002;Frimpong et al, 2009). Intra-varietal and intra-plant variability in grain protein due to fluctuating environment was also observed (Gueguen and Barbot, 1988;Crochemore et al, 1994;Atta et al, 2004). Additionally, environmental factors that can influence nitrogen nutrition like soil compacting, drought stress, diseases and pests may also impact the grain protein content (Burstin et al, 2011).…”

Section: Resultsmentioning

confidence: 99%

Grain protein estimation and SDS-PAGE profilingof six important arid legumes

Jukanti

Dagla

Kalwani

et al. 2017

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Grain protein content and protein profiles of six arid grain legumes belonging to three different tribes were studied. Average grain protein (per cent) of horse gram, cowpea, moth bean, guar, chickpea and green gram was 20. 29, 22.8, 22.6, 20.6, 21.82, and 20.40 respectively. All the six arid legumes were clearly differentiated based on the protein banding patterns generated through SDS-PAGE. The molecular weight range of proteins in different legumes was observed to be ~16 tõ 250kD. Interestingly, in chickpea, moth bean and horse gram proteins >100kD were not mostly observed. Further, distinct proteins were observed indicating inter-varietal differences in horse gram (CRHG-19), cowpea (RC-101) and guar , which could be useful in varietal identification. The different legumes were broadly clustered in to four clusters. Further, chickpea (Cicereae), green gram and cowpea (Phaseoleae) were clustered together. The similarity indexes of varieties and individual crops ranged from 0.667 to 0.950 and 0.425 to 0.821 respectively. Though the six legumes belong to Leguminosae they have distinct protein profiles which could be useful in species/varietal identification.

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Section: Resultsmentioning

confidence: 99%

Grain protein estimation and SDS-PAGE profilingof six important arid legumes

Jukanti

Dagla

Kalwani

et al. 2017

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“…However, the view that seed mass may reflect selective optima or selective compromises (Haig & Westoby 1988; Rees & Westoby 1997) is at odds with the considerable intraspecific variation in seed mass found in wild plants (Silvertown 1989; Mehlman 1993; Obeso 1993; McKee & Richards 1996). Often, seed mass variation is as great within individuals as between individuals or populations (Waller 1982; Briggs 1991; Kang & Primack 1991; Obeso 1993; Crochemore et al . 1994; Krannitz 1997; Telenuis & Torstensson 1999; Buckley et al .…”

Section: Introductionmentioning

confidence: 99%

Environmental severity and variation in the reproductive traits of Impatiens glandulifera

Willis

Hulme

2004

Functional Ecology

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Summary 1.Seed mass is widely regarded as a key plant trait, yet is notoriously variable within an individual species. This study reports the first field experiments to disentangle the relative importance of four major correlates of seed mass variation: resource limitation; plant height; seed number; and seasonality. 2. Variation in reproductive traits in Impatiens glandulifera Royle was partitioned among six populations established across an elevation gradient, among plants at each elevation and within individual plants. 3. Seed mass was the least variable trait both at the individual and population levels, while the number of pods per plant varied most. Seed mass variation was greatest among individual plants (42%) and was least among populations (28%). 4. Taller plants produced proportionally more seed pods and more seeds per pod. Seed mass was not related to the number of pods per plant, or the number of seeds per pod. Thus with increasing resources, I. glandulifera allocated resources to produce more seeds rather than larger seeds. 5. Seed mass was negatively correlated with the heat sum over the period of seed maturation, explaining increased seed mass at higher elevations and increasing seed mass over time at most elevations. This may indicate that environmental condition pre-and post-fertilization determines the relationship between seed mass and elevation, thereby limiting the potential for evolutionary selection for seed-size optima. 6. The study warns against correlative studies of seed mass variation that select arbitrary populations or ignore the temporal dynamics in seed mass, as these may generate spurious correlations among life-history traits. 7. The success of I. glandulifera as an invasive species may reflect the extended period of seed release, considerable seed mass variation and large seed size under conditions of environmental severity. These traits will facilitate the exploitation of spatially and temporally heterogeneous natural environments commonly found in riparian ecosystems.

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“…In another investigation [11], a linear increase in SPC from the base to the top of the plant within four soybean lines was also reported. Meanwhile, there was no variation in SPC according to pod level at a given node within two indeterminate genotypes of winter-type white lupin [8].…”

Section: Introductionmentioning

confidence: 88%

Protein content and dry weight of seeds from various pea genotypes

2004

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Pea seed protein content (SPC) and seed dry weight (SDW) are both influenced by genetic and environmental factors. To assess the variations of these within-plant traits between seeds, six genotypes were field tested. The sequential seed development at nodes along the main stem was determined. Nitrogen fixation was measured by the acetylene reduction assay (ARA). At maturity, protein content and dry weight were measured according to seed position on the plant. Individual protein content was determined by near-infrared transmission spectroscopy. The results show a significant difference in protein content between nodes of the genotypes Solara, L765 and L833. Protein content tended to decrease from the bottom to the top of the plant for these genotypes. The difference in protein content between the lowest and the uppermost node was about 26 g kg-1 for Solara, 40 g kg-1 for L765 and 49 g kg-1 for L833. There were also significant differences in dry weight between plant nodes for all genotypes, except Finale. In addition, the range of difference in dry weight between plant nodes was higher than that for protein content. Further, to determine the influence of morphological position on individual protein content and dry weight, multiple linear regression was established on node position, pod position on the node, and seed position within pods. The results showed that protein content and dry weight were not influenced either by within-pod seed position or pod position on the raceme. Moreover, protein content and dry weight were mainly influenced by node position on the main stem. However, for protein content, the effect of node position varied with genotype, indicating a genetic variability for this character. This genetic variability could be attributed to the difference between genotypes in the ability to maintain nitrogen fixation during the onset of seed filling. For dry weight, the decrease in seed weight for upper nodes of the plant also varied with genotype in relation to the duration of seed filling and the seed growth rate.

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Intra-plant variability in seed size and seed quality in Lupinus albus L

Cited by 14 publications

References 8 publications

Grain protein estimation and SDS-PAGE profilingof six important arid legumes

Grain protein estimation and SDS-PAGE profilingof six important arid legumes

Environmental severity and variation in the reproductive traits of Impatiens glandulifera

Protein content and dry weight of seeds from various pea genotypes

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