Achievements and Challenges in Improving Temperate Perennial Forage Legumes

Annicchiarico, Paolo; Barrett, Brent; Brummer, E. Charles; Julier, Bernadette; Marshall, A. H.

doi:10.1080/07352689.2014.898462

Cited by 215 publications

(252 citation statements)

References 490 publications

(554 reference statements)

Supporting

Mentioning

233

Contrasting

Unclassified

Order By: Relevance

“…This work represents the first time where a prediction model is fitted using stolon samples in white clover. White clover is one of the most important perennial forage legumes worldwide (Annicchiarico et al, 2015;Barrett et al, 2015). Thus, several NIR spectroscopy studies has been performed to predict forage quality (Berardo, 1997;Lister and Dhanoa, 1998;Alomar et al, 2009;Krahmer et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

“…Cold tolerance has been the most studied abiotic stress in white clover (Annicchiarico et al, 2015;Barrett et al, 2015). Several physiological and morphological traits conferring cold tolerance have been described (Dalmannsdóttir et al, 2001;FrankowLindberg, 2001;Wachendorf et al, 2001;Collins et al, 2002;Goulas et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

“…Early vigor traits are related with photosynthetic and growth capacity under sub-optimal temperature. Whereas, plant survival traits are mainly related with the synthesis and catabolism of compatible osmolytes during winter (Annicchiarico et al, 2015). The most common compatible osmolytes found in white clover comprise soluble sugar and protein and amino acids including proline (Frankow-Lindberg, 2001;Goulas et al, 2003;Annicchiarico et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

NIR-Prediction of water-soluble carbohydrate in white clover and its genetic relationship with cold tolerance

Inostroza

Lobos

Acuña

et al. 2017

Chilean J. Agric. Res.

View full text Add to dashboard Cite

In temperate climates, cold stress constrains productivity of white clover (Trifolium repens L.), the most important perennial forage legume in intensive grazing systems for ruminants. Metabolism of water sugar carbohydrate (WSC) has been proposed as an important trait conferring cold tolerance to white clover. Conventional methodologies for WSC determination are considered high-cost and timeconsuming. Near-infrared (NIR) spectroscopy is a robust, reliable, and high-throughput methodology to estimate chemical composition of forage species. The objectives of this work were to determine the accuracy of NIR spectroscopy for predicting WSC in stolon samples of white clover, and to evaluate the genetic relationship between WSC and cold tolerance. A white clover association mapping (WCAM) population was stablished in three location that represent a winter low temperature gradient associated with altitude. Dry matter production and some morphological traits were evaluated during three growing seasons. Samples for WSC determination were collected three time during a winter period. Samples were scanned with a NIR system, and a prediction model for WSC was fitted using partial least squares (PLS) regression. The adjusted prediction model achieved suitable predictive ability (R 2 > 0.85). The WSC per se did not show significant genetic relationship with morphological and agronomically important traits. However, the WSC degradation rate (WSCdr) across the winter period showed significant genetic correlation with DM production during spring (r g = 0.64), which is the result of genetic/ physiological mechanism expressed during the cold period. The NIR spectroscopy is a reliable and high-throughput methodology to predict WSC in stolon samples of white clover. The metabolism of WSC, evaluated as WSCdr, is involved in the cold tolerance of the WCAM population. The methodology implemented in this work is suitable to be applied in a plant breeding program routine.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

NIR-Prediction of water-soluble carbohydrate in white clover and its genetic relationship with cold tolerance

Inostroza

Lobos

Acuña

et al. 2017

Chilean J. Agric. Res.

View full text Add to dashboard Cite

show abstract

“…Unfortunately, much lower rates of genetic advance were observed in faba bean cultivars evaluated in the same environments (data not reported), or in lucerne (Annicchiarico et al, 2015a). Actually, the intermediate outcrossing rate of faba bean hinders its breeding progress by impeding the selection of pure line varieties and exposing synthetic varieties to the risk of inbreeding depression (Lawes et al, 1983), whereas lucerne breeding progress is hindered by several factors [long selection cycles, impossibility to capitalise on harvest index, outbreeding mating system associated with severe inbreeding depression, tetraploid inheritance: Annicchiarico et al (2015a)]. …”

Section: Feed Legume Cultivation Yield and Profitabilitymentioning

confidence: 98%

“…In contrast, the preferable strategy for pea was breeding widely-adapted varieties by selection for cold resistance within relatively early-flowering germplasm (Annicchiarico and Iannucci, 2008a), Large GE interaction effects were also found in lucerne across irrigated and rain-fed environments of northern Italy in coincidence with different combinations of root and shoot traits (Annicchiarico, 2007a), and their exploitation by selection for specific adaptation provided greater yield gains than selection for wide adaptation (Annicchiarico, 2007b). The increasing interest of grain legume-cereal intercropping raises the question whether to breed legume varieties that are widely adapted to pure stand and mixed stand conditions or specifically adapted to either condition (Bedoussac et al, 2014), as investigated already to some extent for forage legumes targeted to mixed cropping with grasses (Annicchiarico et al, 2015a).…”

Section: Reviewmentioning

confidence: 99%

Feed legumes for truly sustainable crop-animal systems

Annicchiarico

2017

Ital J Agronomy

Self Cite

View full text Add to dashboard Cite

Legume cultivation has sharply decreased in Italy during the last 50 years. Lucerne remains widely grown (with about 12% of its area devoted to dehydration), whereas soybean is definitely the most-grown grain legume. Poor legume cropping is mainly due to the gap in yielding ability with major cereals, which has widened up in time according to statistical data. Lucerne displays definitely higher crude protein yield and somewhat lower economic gap with benchmark cereals than feed grain legumes. Pea because of high feed energy production per unit area and rate of genetic progress, and white lupin because of high protein yield per unit area, are particularly interesting for Italian rain-fed environments. Greater legume cultivation in Europe is urged by the need for reducing energy and green-house gas emissions and excessive and unbalanced global N flows through greater symbiotic N fixation and more integrated crop-animal production, as well as to cope with ongoing and perspective raising prices of feed proteins and N fertilisers and insecurity of feed protein supplies. The transition towards greater legume cultivation requires focused research effort, comprehensive stakeholder cooperation and fair economic compensation for legume environmental services, with a key role for genetic improvement dragged by public breeding or pre-breeding. New opportunities for yield improvement arise from the ongoing development of cost-efficient genome-enabled selection procedures, enhanced adaptation to specific cropping conditions via ecophysiological and evolutionary-based approaches, and more thorough exploitation of global genetic resources.

show abstract