Sammanfattning

This study evaluates nutritive, morphological and agronomic characteristics of forage maize predicted by using a high-quality near-infrared (NIR) spectrometer and an NIR hyperspectralimaging technique using partial least squares (PLS) regression models. The study includes 132 samples of dried milled whole-plant homogenates of forage maize with variation in maturity, representing two growing seasons, three locations in Sweden and three commercial maize hybrids. The samples were measured by a classical sample cup NIR spectrometer and by a pushbroom hyperspectral-imaging instrument. The spectra and a number of variables (crude protein, CP, neutral detergent fibre, starch, water soluble carbohydrates (WSC) and organic matter digestibility), morphological variables (leaves, stems & ears) and crop yield were used to make PLS calibration models. Using PLS modelling allowed the determination of how well maize variables can be predicted from NIR spectra and a comparison of the two types of instruments. Most examined variables could be determined equally well, by both instruments, but the pushbroom technique gave slightly better predictions and had higher analytical capacity. Predictions of CP, starch, WSC and the proportions of ears in the maize gave robust. The findings open new possibilities to further utilise the technology in plant breeding, crop management, modelling and forage evaluation.

Nyckelord

Morphological proportions; chemical composition; multivariate calibration; agronomic performance; robustified RER; robustified RPD; starch; neutral; detergent fibre

Publicerad i

Acta Agriculturae Scandinavica, Section B - Soil and Plant Science
2017, Volym: 67, nummer: 4, sidor: 326-333
Utgivare: TAYLOR & FRANCIS AS

SLU författare

• Hetta, Mårten

  • Institutionen för norrländsk jordbruksvetenskap, Sveriges lantbruksuniversitet
    

• Wallsten, Johanna

  • Institutionen för norrländsk jordbruksvetenskap, Sveriges lantbruksuniversitet
    

• Halling, Magnus

  • Institutionen för växtproduktionsekologi, Sveriges lantbruksuniversitet
    

• Swensson, Christian

  • Institutionen för biosystem och teknologi, Sveriges lantbruksuniversitet
    

• Geladi, Paul

  • Institutionen för skogens biomaterial och teknologi, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Husdjursvetenskap
Jordbruksvetenskap


Publikationens identifierare

DOI: https://doi.org/10.1080/09064710.2017.1278782

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/88675