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380 results for “pea”
AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL field pea
<p>This is model output from LPJmL for field pea as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set.</p> <p>The data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019).</p> <p>References:</p> <p>Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015</p> <p>Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017</p> <p>Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8</p>
Location and plant spacing affect biomass yield and nutritional value of pigeon pea forage
<p>An experiment was conducted to evaluate the effects of row spacing (RS) and interplant spacing (IPS) on the yield of total biomass, leaf, and edible twigs, and nutritive value of pigeon pea,(<i>Cajanus cajan </i>L. Millsp.<i>)</i> at three locations in the Rift Valley area of Ethiopia, using a randomized completed block design with three replications in 3 × 3 factorial arrangement; three RS ( 25, 50, and 75 cm) and three IPS (15, 30, and 45 cm). Row spacing × IPS of 25 × 30 cm and 50 × 15 cm, gave greater total biomass yield than the other RS and IPS combinations. A similar result was found for edible plant yield. At Hawassa the greater leaf CP was found for the wider IPS of 45 cm than the narrower IPS of 30 cm (318 Vs. 303 g kg<sup>-1 </sup>). At Wondo-Genet, the greater leaf in vitro digestible organic matter (597 Vs. 582 g kg<sup>-1 </sup>) was found for the wider RS of 75 cm than narrower RS. Similar to leaf, a better nutritional value of edible twigs was found for a wider RS and IPS than narrower RS and IPS at Hawassa and Wondo-Genet. In contrast at Aliyu-Amab, a better nutritional value of edible twigs was found for narrower RS and IPS than the wider spacing. Thus, it can be concluded that RS × IPS of 25 × 30 cm or 50 × 15 cm are advisable for pigeon pea forage production.</p>
Transcription factor dataset in the pea genome
<p><strong>Table 1:</strong> TF dataset identified in the pea genome. The 1807 TF dataset is shown with TF family prediction (from PlantTFDB) and the gene description available from the <em>Pisum sativum</em> genome (v1a). The best BlastP hit against <em>M. truncatula </em>(v4) and <em>A. thaliana</em> (TAIR10) proteomes is presented with both coverage (%) and e-value.</p> <p><strong>Table 2:</strong> Pea, Medicago and Arabidopsis TF datasets with unique gene identifier, predicted TF family (from PlantTFDB) and gene description (retrieved from respective genome annotation) is displayed on a second sheet.</p> <p> </p>
Impact of multiple soil microbial inoculants on biomass and biomass allocation of the legume crop field pea (Fabaceae: Pisum sativum L.)
<p>Food production is a global challenge and consequently, there is considerable interest in manipulating the rhizobiome using microbial inoculants (MI) to support sustainable agriculture. We investigated how three commercially-available types of plant growth-promoting MI, alone and in combination (B5: five species of <em>Bacillus</em> bacteria, GP: four species of <em>Trichoderma</em> fungi, N2: <em>Paenibacillus polymyxa</em> bacteria) impacted field pea (Fabales: Fabaceae, <em>Pisum sativum</em> L.) in the greenhouse and a two-year field experiment in the United States, North Dakota, NDSU Field Research station at Prosper ND. CON indicates controls that did not receive any MI and FC is the fertilizer control in the field experiment which also did not receive any MI. The dataset consists of data plant data from a 2-wk greenhouse experiment (GH 2wk), a 4-wk greenhouse experiment (GH 4wk), and a two-year field experiment (field). In the greenhouse, we found that effects of MI on plant performance varied, with positive effects of MI only apparent when plants were grown in the winter and likely under greater stress because they lacked nodules. Plants grown in the summer had nodules, and two-week-old MI plants had less root biomass and total plant weight than non-inoculated controls, but weight of four-week-old MI plants was similar to or greater than controls. In the field, the root-to-shoot biomass ratio was highest in non-inoculated controls, and positive effects of N2 on shoots and B5 on shoots and pod densities didn't translate into differences in pod weight or total plant weight. In most cases, plants inoculated with all three inoculants performed similarly to those receiving a single inoculant, while root colonization by arbuscular mycorrhizal fungi (AMF) was higher for B5 plants than plants in the other treatments. This research underscores the need to consider microbial and environmental context when evaluating MI. </p>
Cryptic community structure and metabolic interactions among the heritable facultative symbionts of the pea aphid
<p>Most insects harbor influential, yet non-essential heritable microbes in their hemocoel. Communities of these symbionts exhibit low diversity. But their frequent multi-species nature raises intriguing questions on roles for symbiont-symbiont synergies in host adaptation, and on the stability of the symbiont communities, themselves. In this study, we build on knowledge of species-defined symbiont community structure across United States populations of the pea aphid, <em>Acyrthosiphon</em> <em>pisum</em>. Through extensive symbiont genotyping, we show that pea aphids' microbiomes can be more precisely defined at the symbiont strain level, with strain variability shaping ~5 out of 9 previously reported co-infection trends. Field data provide a mixture of evidence for symbiont-symbiont synergies, and symbiont hitchhiking, revealing causes and consequences of these co-infection trends. To test whether within-host metabolic interactions predict common versus rare strain-defined communities, we leveraged the high relatedness of our dominant, community-defined symbiont strains vs. twelve pea aphid-derived Gammaproteobacteria with sequenced genomes. Genomic inference, using metabolic complementarity indices, revealed high potential for cooperation among one pair of symbionts – <em>Serratia</em> <em>symbiotica</em> and <em>Rickettsiella</em> <em>viridis</em>. Applying the expansion network algorithm, through additional use of pea aphid and obligate <em>Buchnera</em> symbiont genomes, <em>Serratia</em> and <em>Rickettsiella</em> emerged as the only symbiont community requiring both parties to expand holobiont metabolism. Through their joint expansion of the biotin biosynthesis pathway, these symbionts may span missing gaps within a multi-party mutualism, within their nutrient-limited phloem-feeding hosts. Recent, complementary gene inactivation, within the biotin pathways of <em>Serratia</em> and <em>Rickettsiella</em>, raise further questions on the origins of mutualisms and host-symbiont interdependencies.</p>
Data for: Assessment of genetic diversity and protein content of Scandinavian peas (Pisum sativum)
<p>We produced homogeneous lines of 227 pea accessions from the Nordic Genetic Resource Center by single seed descent. The genetic diversity among these, mostly Scandinavian accessions, was investigated using three microsatellite markers, A9, AC58 and AA5. The microsatellites were highly informative and separated 153 of 194 accessions on a Neighbor Joining topology. The high polymorphism information content (PIC) values between 0.87 and 0.91 indicated that the gene bank material contains a large number of pea accessions with different breeding. The peas were grown in the field for two years and seed protein content showed variation between 9.3% and 34.1% over years and accessions. Mean thousand seed weight was 152.05 g. More than 10 accessions had protein content above 28% showing that the collection has potential as a breeding nursery for high-protein pea.</p>
Jar with red peas_Банка в красный горошек СССР
If you say "lemon", everyone will drool. And if you say "red cans with white polka dots" - tears. True, these tears - tears of tenderness and nostalgia - will flow only from those who were lucky enough to grow up on porridges cooked from cereals that were stored in these jars. Produced by the Norma factory in Tallinn, they not only penetrated all Soviet kitchens, but also became a symbol of the era. Если вы скажете «лимон», у всех потекут слюни. А если сказать "красные банки в белый горошек" - слезы. Правда, эти слезы — слезы умиления и ностальгии — польются только у тех, кому посчастливилось вырасти на кашах, сваренных из круп, которые хранились в этих баночках. Произведенные фабрикой «Норма» в Таллинне, они не только проникли во все советские кухни, но и стали одним из символов эпохи. Source: Objaverse 1.0 / Sketchfab
Extreme developmental instability is associated with the pea aphid wing plasticity
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Limited divergent adaptation despite a substantial environmental cline in wild pea
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Effects of a protease inhibitor protein on Buchnera aphidicola and gene expression in pea aphids (Acyrthosiphon pisum)
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Belowground plant competition: Uncoupling root response strategies of peas
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Data for: Assessment of genetic diversity and protein content of Scandinavian peas (Pisum sativum)
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Population genetic structure and classification of cultivated and wild pea (Pisum sp.) based on morphological traits and SSR markers
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Location and plant spacing affect biomass yield and nutritional value of pigeon pea forage
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Data from: Expression of additive genetic variance for fitness in a population of partridge pea in two field sites
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Effects of benign and heat-stress conditions on parent clones and their selfed offspring of the pea aphid
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Raw data and code for: Arbuscular mycorrhizal fungus alters the phyllosphere microbial community of alfalfa and modifies plant defenses against dual pea aphid and pathogen attack
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Data from: Embryonic exposure to heat impacts development time, adult morphology, and fecundity in pea aphids
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Prospects for the natural distribution of crop wild-relatives with limited adaptability: The case of the wild pea Pisum fulvum
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Cryptic community structure and metabolic interactions among the heritable facultative symbionts of the pea aphid
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