Acrocomia spp.: neglected crop, ballyhooed multipurpose palm or fit for the bioeconomy? A review

AbstractAcrocomia spp., a genus of wild-growing palms in the neotropics, is rapidly gaining interest as a promising multipurpose crop. Diverse products can be derived from various components of the palm, the oils being of highest interest. Acrocomia shows similar oil yield and fatty acid composition to the African oil palm (Elaeis guineensis). It is, however, able to cope with a wider range of environmental conditions, including temporary water scarcity and lower temperatures, thus potentially a more sustainable alternative to its tropical counterpart. Acrocomia’s research history is recent compared to other traditional crops and thus knowledge gaps, uncertainty, and challenges need to be addressed. This review attempts to assess the acrocomia’s preparedness for cultivation by highlighting the state-of-the-art in research and identifying research gaps. Based on a systematic literature search following a value web approach, it (a) provides a comprehensive overview of research topics, (b) shows the development of publication activities over time and the drivers of this development, and (c) compiles main findings to assess the acrocomia’s preparedness for commercial cultivation. Our results confirm its multipurpose characteristic as a potential feedstock for manifold sectors. Research has continued to increase over the last decade, especially on A. aculeata and is driven by the interest in bioenergy. Increasing knowledge on botany has contributed to understanding the genetic diversity and genus-specific biology. This has enabled applied research on seed germination and propagation toward domestication and initial plantation activities, mostly in Brazil. Main research gaps are associated with genotype–environment interaction, planting material, crop management, and sustainable cropping systems. Overall, we conclude that acrocomia is at an early phase of development as an alternative and multipurpose crop and its up-scaling requires the integration of sustainability strategies tailored to location-based social-ecological conditions.

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Challenges in IBD Research: Environmental Triggers

Inflammatory Bowel Diseases ◽

10.1093/ibd/izz076 ◽

2019 ◽

Vol 25 (Supplement_2) ◽

pp. S13-S23 ◽

Cited By ~ 15

Author(s):

Shuk-Mei Ho ◽

James D Lewis ◽

Emeran A Mayer ◽

Charles N Bernstein ◽

Scott E Plevy ◽

...

Keyword(s):

Environmental Factors ◽

Prediction Models ◽

Biological Response ◽

Response To Therapy ◽

Research Gaps ◽

Comprehensive Overview ◽

Disease Evolution ◽

Main Research ◽

Novel Technologies ◽

Research Document

Abstract Environmental triggers is part of five focus areas of the Challenges in IBD research document, which also includes preclinical human IBD mechanisms, novel technologies, precision medicine and pragmatic clinical research. The Challenges in IBD research document provides a comprehensive overview of current gaps in inflammatory bowel diseases (IBD) research and delivers actionable approaches to address them. It is the result of a multidisciplinary input from scientists, clinicians, patients, and funders, and represents a valuable resource for patient centric research prioritization. In particular, the environmental triggers section is focused on the main research gaps in elucidating causality of environmental factors in IBD. Research gaps were identified in: 1) epidemiology of exposures; 2) identification of signatures of biological response to exposures; and 3) mechanisms of how environmental exposures drive IBD. To address these gaps, the implementation of longitudinal prospective studies to determine disease evolution and identify sub-clinical changes in response to exposures is proposed. This can help define critical windows of vulnerability and risk prediction. In addition, systems biology analysis and in silico modeling were proposed as approaches to integrate the IBD exposome for the identification of biological signatures of response to exposures, and to develop prediction models of the effects of environmental factors in driving disease activity and response to therapy. This research could lead to identification of biomarkers of exposures and new modalities for therapeutic intervention. Finally, hypothesis-driven mechanistic studies to understand gene-environment interactions and to validate causality of priority factors should be performed to determine how environment influences clinical outcomes.

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Approaches to rationalising selection of test environments for on-farm lentil variety trials in Mediterranean rainfed cropping systems

Australian Journal of Agricultural Research ◽

10.1071/ar05418 ◽

2007 ◽

Vol 58 (4) ◽

pp. 335 ◽

Cited By ~ 2

Author(s):

A. Sarker ◽

M. Singh ◽

F. El-Ashkar ◽

W. Erskine ◽

E. De-Pauw

Keyword(s):

Cropping Systems ◽

Genotypic Differences ◽

Environment Interaction ◽

Local Cultivar ◽

Genotype Environment Interaction ◽

Genotype Cluster ◽

Yield Responses ◽

Temporal Interactions ◽

On Farm ◽

Selection Of

This study focused on various approaches to rationalising the selection of test environments using on-farm trial data from 5 lentil (Lens culiniaris Medikus subsp. culinaris) genotypes. It was conducted over 3 years in 30 environments across 16 locations in Syria. There was maximum discrimination in the ratio of between-cluster to within-cluster variances, based on genotype yield responses to the environments. Four clusters represented the test locations, reflecting a gradient in the levels of yield and seasonal rainfall. We observed significant genotypic differences and genotype × environment interactions. Genotype × cluster interaction accounted for a substantial portion of the genotype × environment interaction. This supported a reduction in the number of test locations to evaluate genotype and environment interaction. Temporal interactions were either low or insignificant. The improved lines produced stable and significantly higher yields than the local cultivar. The structure of the clusters formed indicated the presence of research stations in each cluster. We recommend that locations for future on-farm testing should include one research location and a farmer field in each cluster (or the mega-zone) so formed. Climatic variables or geographical nearness cannot replace the role of genotype response when rationalising test locations.

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Elucidation of Genotype × Environment Interaction for Identification of Stable Genotypes to Grain Yield of Rice (Oryza sativa L.) Varieties in Bangladesh Rainfed Condition

Bangladesh Rice Journal ◽

10.3329/brj.v24i1.53240 ◽

2021 ◽

Vol 24 (1) ◽

pp. 59-71

Author(s):

SK Debsharma ◽

PR Roy ◽

RA Begum ◽

KM Iftekharuddaula

Keyword(s):

Grain Yield ◽

Oryza Sativa L ◽

Block Design ◽

Environment Interaction ◽

Rainfed Condition ◽

Ecological Zones ◽

Commercial Cultivation ◽

Genotype Environment Interaction ◽

Randomized Complete Block Design ◽

Sources Of Variation

The research was evaluated in seven ecological zones throughout the country following randomized complete block design with three replications in each location. The combined analysis of variance for grain yield indicated that the differences among all sources of variation were highly significant (P<0.01). Environment (E), Genotype (G) and G × E interaction effects explained by 25.54%, 17.02% and 48.97% for inbred and 35.26%, 17.03%, 31.23% for hybrid of the total sum of square, respectively. Locations E2 (Chattogram); E3 (Dhaka) for inbred and E2 (Chattogram); E4 (Khulna); E5 (Rajshahi); E7 (Sylhet) for hybrid varieties were found most discriminating and more informative among all. Ideal environment was found in E6 (Rangpur) for inbred and E4 (Khulna) for hybrid varieties. According to GGE mean and stability biplot, the most stable genotypes were G18 (BRRI dhan34); G26 (BRRI dhan52); G28 (BRRI dhan57); G19 (BRRI dhan37); G13 (BR25); G27 (BRRI dhan56); G21 (BRRI dhan39) for inbred and G2 (BADC hybrid dhan-2); G4 (BADC hybrid dhan-6); G5 (Bayer hybrid dhan-4) for hybrid compared to the other genotypes. The ideal genotypes were found G18 (BRRI dhan34) for inbred and G26 (BRRI hybrid dhan6) for hybrid varieties. In summary, we identified stable genotypes adapted across the environments for grain yield. These genotypes can be used as commercial cultivation with sustainable production as well as a parent/pre-breeding material in future rice breeding program. Bangladesh Rice J. 24 (1): 59-71, 2020

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Integrating Multivariate and Univariate Statistical Models to Investigate Genotype–Environment Interaction of Advanced Fragrant Rice Genotypes under Rainfed Condition

Sustainability ◽

10.3390/su13084555 ◽

2021 ◽

Vol 13 (8) ◽

pp. 4555

Author(s):

Norainy Hashim ◽

Mohd Y. Rafii ◽

Yusuff Oladosu ◽

Mohd Razi Ismail ◽

Asfaliza Ramli ◽

...

Keyword(s):

High Stability ◽

Block Design ◽

Univariate Analysis ◽

Primary Objective ◽

Environment Interaction ◽

Fragrant Rice ◽

Commercial Cultivation ◽

Genotype Environment Interaction ◽

Premium Price ◽

Second Category

Specialty fragrant rice is sold at a premium price in both local and international trade because of its superior grain qualities. In this research, 40 advanced fragrant rice accessions were evaluated in different environments. The primary objective was to identify genotypes with high grain yield and high stability using multivariate (GGE biplot) and univariate analysis (regression slope, deviation from regression, Shukla’s stability variance, Wricke’s ecovalence, and Kang’s stability statistic). The field experiment trials were laid in a randomized complete block design in three replications. The analysis of variance showed highly significant differences among genotypes, locations, seasons, and the interactions between genotype, locations, and seasons. The environment significantly explained about 43.32% (37.01 and 6.31% for locations and seasons) of the total sum of squares. Based on average ranking generated from multivariate and univariate stability measured, rice accessions were classified into three major categories, viz., genotypes having high trait performance, and high stability as category 1. The second category consists of genotypes that exhibit high mean performance but low stability, while the third category includes genotypes with high stability but low trait performance. Our results showed that breeding for yield performance was possible, and the identified genotypes could be recommended for commercial cultivation.

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