Relationships between yield and pollen concentrations in Chilean hazelnut orchards

Ascari, Lorenzo; Siniscalco, Consolata; Palestini, G.; Lisperguer, María José; Huerta, Eloy Suarez; Gregorio, Tommaso De; Bregaglio, Simone

doi:10.1016/j.eja.2020.126036

Cited by 15 publications

(10 citation statements)

References 36 publications

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“…By monitoring the regular development of nuts in the last five years, the global hazelnut-cultivated area greatly increased beyond 670,000 ha in 2017 [FAOSTAT, 2020]. Also, the hazelnut cultivation has recently extended beyond the native areas, namely Europe and West Asia [Ascari et al, 2020].…”

Section: Introductionmentioning

confidence: 99%

Effect of Lecithin and Mono- and Di-Glyceride on Quality and Shelf Life of Hazelnut Butter: Chemometric Approach

Pourfarzad

Kisomi

2020

Pol. J. Food Nutr. Sci.

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Section: Introductionmentioning

confidence: 99%

Effect of Lecithin and Mono- and Di-Glyceride on Quality and Shelf Life of Hazelnut Butter: Chemometric Approach

Pourfarzad

Kisomi

2020

Pol. J. Food Nutr. Sci.

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“…The former covers about 70% of the total hazelnut area and is located in the Eastern Black Sea area, while the latter extends in the Western Black Sea area, comprising the municipalities of Duzce, Sakarya and Zonguldak. However, less information is available on the inter-annual variability of Turkish hazelnut yields, even though it is well known that this tree crop has a marked alternate bearing in most growing environments (e.g., Italy, Roversi and Ughini, 2006 ; Chile, Ascari et al, 2020 ; United States, Mehlenbacher et al, 2011 ). This phenomenon has multiple causes, encompassing biochemical, physiological, genetic and environmental factors ( Sharma et al, 2019 ), and consists of two major multiannual reproductive strategies, leading to heavy fruit load in 1 year, and low fruit load in the following season ( Goldschmidt, 2013 ).…”

Section: Discussionmentioning

confidence: 99%

The HADES Yield Prediction System – A Case Study on the Turkish Hazelnut Sector

et al. 2021

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Crop yield forecasting activities are essential to support decision making of farmers, private companies and public entities. While standard systems use georeferenced agro-climatic data as input to process-based simulation models, new trends entail the application of machine learning for yield prediction. In this paper we present HADES (HAzelnut yielD forEcaSt), a hazelnut yield prediction system, in which process-based modeling and machine learning techniques are hybridized and applied in Turkey. Official yields in the top hazelnut producing municipalities in 2004–2019 are used as reference data, whereas ground observations of phenology and weather data represent the main HADES inputs. A statistical analysis allows inferring the occurrence and magnitude of biennial bearing in official yields and is used to aid the calibration of a process-based hazelnut simulation model. Then, a Random Forest algorithm is deployed in regression mode using the outputs of the process-based model as predictors, together with information on hazelnut varieties, the presence of alternate bearing in the yield series, and agro-meteorological indicators. HADES predictive ability in calibration and validation was balanced, with relative root mean square error below 20%, and R2 and Nash-Sutcliffe modeling efficiency above 0.7 considering all municipalities together. HADES paves the way for a next-generation yield prediction system, to deliver timely and robust information and enhance the sustainability of the hazelnut sector across the globe.

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“…Nineyear-old tree cultivar TDG were planted in regular rows with 5 × 4 m frame (500 trees ha −1 ) in a multistem system. This cultivar is one of the most planted in Southern Chile, covering 45% of the total hazelnut orchards surface and 55% of Chilean total production (Agrichile, 2020;Ascari et al, 2020). Soil orchard was an Andisol belonging to Freire Series (Typic Placudands), with flat topography and good drainage (CIREN, 2002) (Table 1).…”

Section: Plant Materials and Field Conditionsmentioning

confidence: 99%

Combined Spraying of Boron and Zinc During Fruit Set and Premature Stage Improves Yield and Fruit Quality of European Hazelnut cv. Tonda di Giffoni

et al. 2021

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Boron (B) and zinc (Zn) are essential micronutrients of plant nutrition programs in orchards for securing the crop quality and yield. Although orchard supplementation with B and Zn is a common practice to overcome deficiencies or maintain their optimal levels, the efficiency of combined B and Zn spraying in relation to European hazelnut (Corylus avellana L.) phenological stage has not been investigated so far. Leaf and kernel mineral and functional traits were studied in cultivar Tonda di Giffoni after B and Zn spraying in four phenological stages. During the 2016/2017 season, 9-year-old trees were sprayed with B (0, 800, and 1,600 mg L−1) and Zn (0, 400, and 800 mg L−1) under three treatments: B0+Zn0, B800+Zn400, and B1600+Zn800 implemented in three spring application programs scheduled from October to December (P1: four times, P2: early two times, and P3: late two times). B and Zn treatments in P1 and P3 led to higher Zn concentration both in leaves and in kernels compared with non-sprayed trees. Stabilized nut production increased 2.5-fold under B800+Zn400 in all three programs. Kernel/nut ratio improved in both B+Zn treatments in P1 and P3, while the percentage of blank nuts was reduced compared with B0+Zn0. Increased radical scavenging activity in B+Zn-treated kernels and leaves was not attributed to the accumulation of phenolics in P3 compared with B0+Zn0, whereas B and Zn spraying reduced the level of lipid peroxidation in both studied organs. According to the results, combined B and Zn should be sprayed at the end of spring (P3) on hazelnut plantations in temperate areas such as Southern Chile, whereas early applications (P2) showed an irregularity in nut production and functional traits in nuts. Moderate and partialized rates of B and Zn and the time of implementation contribute to improving the quantitative and qualitative features crucial for future sustainable hazelnut production.

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Relationships between yield and pollen concentrations in Chilean hazelnut orchards

Cited by 15 publications

References 36 publications

Effect of Lecithin and Mono- and Di-Glyceride on Quality and Shelf Life of Hazelnut Butter: Chemometric Approach

Effect of Lecithin and Mono- and Di-Glyceride on Quality and Shelf Life of Hazelnut Butter: Chemometric Approach

The HADES Yield Prediction System – A Case Study on the Turkish Hazelnut Sector

Combined Spraying of Boron and Zinc During Fruit Set and Premature Stage Improves Yield and Fruit Quality of European Hazelnut cv. Tonda di Giffoni

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